Rozprawy doktorskie na temat „Two stage selection”
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Yousef, Mohammed A. "Two-Stage SCAD Lasso for Linear Mixed Model Selection". Bowling Green State University / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1558431514460879.
Pełny tekst źródłaSands, John Stephen, i n/a. "Auditor Switching - A Two-Stage Decision Process: An Empirical Study of Australian Companies". Griffith University. Department of Accounting, Finance and Economics, 1996. http://www4.gu.edu.au:8080/adt-root/public/adt-QGU20050901.152229.
Pełny tekst źródłaSands, John Stephen. "Auditor Switching - A Two-Stage Decision Process: An Empirical Study of Australian Companies". Thesis, Griffith University, 1996. http://hdl.handle.net/10072/366910.
Pełny tekst źródłaThesis (Masters)
Master of Philosophy (MPhil)
Department of Accounting, Finance and Economics
Griffith Business School
Full Text
Choi, Jin-Young. "Two-stage Semiparametric Estimators for Limited Dependent Variables and its Applications". Thesis, Boston College, 2014. http://hdl.handle.net/2345/bc-ir:103547.
Pełny tekst źródłaThis thesis proposes two semiparametric estimators; one for heavily censored panel models and another one for binary-outcome sample selection models. The first chapter proposes a new panel data estimator, and applies it to investigate whether the key assumption underlying most twin studies is valid. Roughly, the assumption is that differences in twins' outcomes can on average be attributed to differences in observed treatments, possibly after conditioning on observable covariates. The empirical results here cast doubt on this assumption, by showing that a particular outcome, survival, varies by birth order, even after conditioning on health-at-birth characteristics. The proposed panel data estimator is the first one in the literature that simultaneously handles having an unknown error distribution, fixed effects, fixed T, fixed censoring point, and heavy (greater than 50%) censoring. These features are all required to adequately deal with the limitations of available census data on twins. The proposed estimator also allows for coefficients that vary by t, and for a censoring point that is an unknown but deterministic function of regressors. The second chapter proposes a new semiparametric estimator for binary-outcome selection models that does not impose any distributional assumption, nor specify the selection equation. The estimator, however, requires a special regressor satisfying a support restriction in the outcome equation and a variable satisfying the exclusion/inclusion restriction; the former should be continuous whereas the latter can be discrete. The estimators of Klein et al. (2011) and Escanciano et al. (2012) require optimization, but our estimator for the outcome equation has a closed-form expression with no need for any optimization (but the selection equation estimation may still need an optimization). We apply MLE and the proposed estimator to US presidential election data in 2008 and 2012 where Barack Obama won to see to what extent racism mattered; we use a prejudice variable as a measure of racism. Putting our empirical findings in advance, there is evidence that the white Democrats voted less for Obama due to prejudice, whereas the white Republicans acted in a more muted fashion (i.e., almost no change in voting due to racism) or voted more for Obama to escape the stigma of racism. We also found evidence of "own-race favor" by blacks
Thesis (PhD) — Boston College, 2014
Submitted to: Boston College. Graduate School of Arts and Sciences
Discipline: Economics
Teague, Kory Alan. "Approaches to Joint Base Station Selection and Adaptive Slicing in Virtualized Wireless Networks". Thesis, Virginia Tech, 2018. http://hdl.handle.net/10919/85966.
Pełny tekst źródłaMaster of Science
5G, the next generation cellular network standard, promises to provide significant improvements over current generation standards. For 5G to be successful, this must be accompanied by similarly significant efficiency improvements. Wireless network virtualization is a promising technology that has been shown to improve the cost efficiency of current generation cellular networks. By abstracting the physical resource—such as cell tower base stations— from the use of the resource, virtual resources are formed. This work investigates the problem of selecting virtual resources (e.g., base stations) to construct virtual wireless networks with minimal cost and slicing the selected resources to individual networks to optimally satisfy individual network demands. This problem is framed in a stochastic optimization framework and two approaches are presented for approximation. The first approach converts the framework into a deterministic equivalent and reduces it to a tractable form. The second approach uses a genetic algorithm to approximate resource selection. Approaches are simulated and evaluated utilizing a demand model constructed to emulate the statistics of an observed real world urban network. Simulations indicate that the first approach can provide a reasonably tight solution with significant time expense, and that the second approach provides a solution in significantly less time with the introduction of marginal error.
Steele, Steven Cory Wyatt. "Optimal Engine Selection and Trajectory Optimization using Genetic Algorithms for Conceptual Design Optimization of Resuable Launch Vehicles". Thesis, Virginia Tech, 2015. http://hdl.handle.net/10919/51771.
Pełny tekst źródłaMaster of Science
Carreras, Máximo [Verfasser], Werner [Akademischer Betreuer] Brannath, Frank [Akademischer Betreuer] Bretz i Georg [Akademischer Betreuer] Gutjahr. "Two-Stage Adaptive Designs With Interim Treatment Selection / Máximo Ariel Carreras. Gutachter: Frank Bretz ; Georg Gutjahr. Betreuer: Werner Brannath". Bremen : Staats- und Universitätsbibliothek Bremen, 2015. http://d-nb.info/1072746301/34.
Pełny tekst źródłaPan, Xi. "THE LABOR MARKET, POLITICAL CAPITAL, AND OWNERSHIP SECTOR IN URBAN CHINA". UKnowledge, 2010. http://uknowledge.uky.edu/gradschool_diss/788.
Pełny tekst źródłaChoudhary, Pankaj K. "ASSESSMENT OF AGREEMENT AND SELECTION OF THE BEST INSTRUMENT IN METHOD COMPARISON STUDIES". The Ohio State University, 2002. http://rave.ohiolink.edu/etdc/view?acc_num=osu1029109764.
Pełny tekst źródłaBarksten, Martin. "Evaluating the effect of cardinality estimates on two state-of-the-art query optimizer's selection of access method". Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-189892.
Pełny tekst źródłaDetta examensarbete behandlar relationella databaseer och hur stor påverkan kvaliteten på den uppskattade kardinaliteten har på antalet olika metoder som används för att hämta data från samma relation. Två databaser testades — PostgreSQL och MariaDB — på ett verkligt dataset för att ge realistiska resultat. Utvärderingen gjordes med hjälp av ett verktyg implementerat i Clojure och testerna gjordes på en query, och delvarianter av den, med varierande stora sample sizes för kardinalitetsuppskattningen. Resultaten indikerar att MariaDBs query optimizer inte påverkas av kardinalitetsuppskattningen, för alla testerna valde den samma metod för att hämta datan. Detta skiljer sig mot PostgreSQLs query optimizer som varierade mellan att använda sig av index eller göra en full table scan beroende på den uppskattade kardinaliteten. Slutligen pekade även resultaten på att båda databasernas query optimizers varierade metod för att hämta data beroende på värdet i predikatet som användes i queryn.
Kaze, Joshua Taft. "Habitat Selection by Two K-Selected Species: An Application to Bison and Sage Grouse". BYU ScholarsArchive, 2013. https://scholarsarchive.byu.edu/etd/4284.
Pełny tekst źródłaMeyer, Timothy. "A Test of Two-axis Male Mate Choice in Schizocosa Ocreata (Hentz) Based on Experience and Cues Indicating Female State". University of Cincinnati / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1505149313740743.
Pełny tekst źródłaWagner, Alec Thomas. "Fundamental Studies of Two Important Atmospheric Oxidants, Ozone and Hydroxyl Radical, Reacting with Model Organic Surfaces". Thesis, Virginia Tech, 2012. http://hdl.handle.net/10919/45093.
Pełny tekst źródłaMaster of Science
Ceddia, Ryan Patrick. "Genomic Characterization of Two Models of Obesity in Mice: Divergent Selection for Epididymal Fat and the Effects of trans-10, cis-12-Conjugated Linoleic Acid". NCSU, 2007. http://www.lib.ncsu.edu/theses/available/etd-08072007-120016/unrestricted/etd.pdf.
Pełny tekst źródłaLEMECHA, MEGERSA ENDASHAW. "Microcredit and agricultural technology adoptions: evidence from ethiopia". Doctoral thesis, Università Politecnica delle Marche, 2021. http://hdl.handle.net/11566/290144.
Pełny tekst źródłaIn Ethiopia, women and female headed households make up significant share of farm households who are also extremely poor. In this thesis I provide evidence for the need to move beyond microcredit and promote a broader financial inclusion to affect a majority of farm households’ livelihood strategies, particularly technology adoptions. I use large and nationally representative panel of households obtained from rural Ethiopia as part of the World Bank’s LSMS-ISA to 1) understand constraints to technology adoptions, highlighting credit 2) assess whether microcredit is positioned to work for a majority of them. To the latter’s effect, I investigate decisions to participate in the credit markets and use a particular credit type; explore the relationship between formal and informal lenders - whether they serve as substitutes or complements. The last two decades has witnessed a dramatic expansion in the physical access to microcredit in poor, risky agrarian settings. There is limited penetration of banks and many households, especially small and marginal farmers rely on informal finance. For many, microcredit is introduced to rescue poor borrowers by reducing institutional credit constraints and their reliance on informal finance. So one expects that the information technology and contract enforcement mechanisms of microcredit lenders to lie between the two extremes. I employ state-of-the-art and complex econometric methodologies which allow to obtain more reliable results and, hence, more specific contributions to research and practice.
Brown, Richard III. "Racial Differences In Juvenile Court Delinquency Outcomes in a Large Urban County in a Midwestern State". Bowling Green State University / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1395403274.
Pełny tekst źródłaAbdullah, Jiwa. "QoS routing for mobile ad hoc networks using genetic algorithm". Thesis, Loughborough University, 2007. https://dspace.lboro.ac.uk/2134/35198.
Pełny tekst źródłaHamy, Anne-Sophie. "Identification of Factors Predicting Sensitivity or Resistance to Neoadjuvant Chemotherapy in Breast Cancer Neoadjuvant treatment : the future of patients with breast cancer Neoadjuvant treatment for intermediate/high-risk HER2-positive and triple-negative breast cancers: no longer an “option” but an ethical obligation Long-term outcome of the REMAGUS 02 trial, a multicenter randomised phase II trial in locally advanced breast cancer patients treated with neoadjuvant chemotherapy with or without celecoxib or trastuzumab according to HER2 status BIRC5 (survivin) : a pejorative prognostic marker in stage II/III breast cancer with no response to neoadjuvant chemotherapy Beyond Axillary Lymph Node Metastasis, BMI and Menopausal Status Are Prognostic Determinants for Triple-Negative Breast Cancer Treated by Neoadjuvant Chemotherapy Pathological complete response and prognosis after neoadjuvant chemotherapy for HER2-positive breast cancers before and after trastuzumab era: results from a real-life cohort The presence of an in situ component on pre-treatment biopsy is not associated with response to neoadjuvant chemotherapy for breast cancer Chemosensitivity, tumor infiltrating lymphocytes (TILs), and survival of postpartum PABC patients treated by neoadjuvant chemotherapy Lymphovascular invasion after neoadjuvant chemotherapy is strongly associated with poor prognosis in breast carcinoma New insight for pharmacogenomics studies from the transcriptional analysis of two large-scale cancer cell line panels Biological network-driven gene selection identifies a stromal immune module as a key determinant of triple-negative breast carcinoma prognosis A Stromal Immune Module Correlated with the Response to Neoadjuvant Chemotherapy, Prognosis and Lymphocyte Infiltration in HER2-Positive Breast Carcinoma Is Inversely Correlated with Hormonal Pathways Stromal lymphocyte infiltration after neoadjuvant chemotherapy is associated with aggressive residual disease and lower disease-free survival in HER2-positive breast cancer Interaction between molecular subtypes, stromal immune infiltration before and after treatment in breast cancer patients treated with neoadjuvant chemotherapy COX2/PTGS2 Expression Is Predictive of Response to Neoadjuvant Celecoxib in HER2-negative Breast Cancer Patients Celecoxib With Neoadjuvant Chemotherapy for Breast Cancer Might Worsen Outcomes Differentially by COX-2 Expression and ER Status: Exploratory Analysis of the REMAGUS02 Trial Comedications influence immune infiltration and pathological response to neoadjuvant chemotherapy in breast cancer". Thesis, Université Paris-Saclay (ComUE), 2019. http://www.theses.fr/2019SACLS129.
Pełny tekst źródłaNeoadjuvant chemotherapy (NAC i.e. chemotherapy before surgery) is increasingly being used for aggressive or locally advanced breast cancer (BCs). Beyond clinical benefits, it represents an opportunity to monitor in vivo sensitivity to treatment. Based on the analysis of datasets of BCs patients treated with NAC, we aimed at identifying mechanisms associated with resistance or sensitivity to treatment.In the first part, we evaluated biological, clinical, pathological and transcriptomic patterns. We demonstrated that unexplored pathological features such as post-NAC lymphovascular invasion may carried an important prognostic information.In a second part, we analyzed impact of imune infiltration in BC and we described extensively the changes of tumor infiltrating lymphocytes (TILs) between pre and post-NAC samples. We showed that the prognostic impact of TILs was different before and after NAC, and was opposite in TNBC and HER2-positive BCs. Finally, we investigated the impact of comedications use during NAC. We found both positive effects - while enhancing immune infiltration and response to treatment - and negative effects with deleterisous oncologic outcomes in specific patients subgroups. In conclusion, the neoadjuvant setting represents a platform to both generate and potentially validate research hypotheses aiming at increasing the efficacy of treatment. The public release of real-life datasets of BC patients treated with NAC would represent a major resource to accelerate BC research
Fenollosa, Artés Felip. "Contribució a l'estudi de la impressió 3D per a la fabricació de models per facilitar l'assaig d'operacions quirúrgiques de tumors". Doctoral thesis, Universitat Politècnica de Catalunya, 2019. http://hdl.handle.net/10803/667421.
Pełny tekst źródłaLa presente tesis doctoral se ha centrado en el reto de conseguir, mediante Fabricación Aditiva (FA), modelos para ensayo quirúrgico, bajo la premisa que los equipos para obtenerlos tendrían que ser accesibles al ámbito hospitalario. El objetivo es facilitar la extensión del uso de modelos como herramienta de preparación de operaciones quirúrgicas, transformando la práctica médica actual de la misma manera que, en su momento, lo hicieron tecnologías como las que facilitaron el uso de radiografías. El motivo de utilizar FA, en lugar de tecnologías más tradicionales, es su capacidad de materializar de forma directa los datos digitales obtenidos de la anatomía del paciente mediante sistemas de escaneado tridimensional, haciendo posible la obtención de modelos personalizados. Los resultados se centran en la generación de nuevo conocimiento para conseguir equipamientos de impresión 3D multimateriales accesibles que permitan la obtención de modelos miméticos respecto a los tejidos vivos. Para facilitar la buscada extensión de la tecnología, se ha focalizado en las tecnologías de código abierto como la Fabricación por Hilo Fundido (FFF) y similares basadas en líquidos catalizables. Esta investigación se alinea dentro de la actividad de desarrollo de la FA en el CIM UPC, y en este ámbito concreto con la colaboración con el Hospital Sant Joan de Déu de Barcelona (HSJD). El primer bloque de la tesis incluye la descripción del estado del arte, detallando las tecnologías existentes y su aplicación al entorno médico. Se han establecido por primera vez unas bases de caracterización de los tejidos vivos – principalmente blandos – para dar apoyo a la selección de materiales que los puedan mimetizar en un proceso de FA, a efectos de mejorar la experiencia de ensayo de los cirujanos. El carácter rígido de los materiales mayoritariamente usados en impresión 3D los hace poco útiles para simular tumores y otras referencias anatómicas. De forma sucesiva, se tratan parámetros como la densidad, la viscoelasticidad, la caracterización de materiales blandos en la industria, el estudio del módulo elástico de tejidos blandos y vasos, la dureza de los mismos, y requerimientos como la esterilización de los modelos. El segundo bloque empieza explorando la impresión 3D mediante FFF. Se clasifican las variantes del proceso desde el punto de vista de la multimaterialidad, esencial para hacer modelos de ensayo quirúrgico, diferenciando entre soluciones multiboquilla y de mezcla en el cabezal. Se ha incluido el estudio de materiales (filamentos y líquidos) que serían más útiles para mimetizar tejidos blandos. Se constata como en los líquidos, en comparación con los filamentos, la complejidad del trabajo en procesos de FA es más elevada, y se determinan formas de imprimir materiales muy blandos. Para acabar, se exponen seis casos reales de colaboración con el HJSD, una selección de aquellos en los que el doctorando ha intervenido en los últimos años. El origen se encuentra en la dificultad del abordaje de operaciones de resección de tumores infantiles como el neuroblastoma, y en la iniciativa del Dr. Lucas Krauel. Finalmente, el Bloque 3 desarrolla numerosos conceptos (hasta 8), actividad completada a lo largo de los últimos cinco años con el apoyo de los medios del CIM UPC y de la actividad asociada a trabajos finales de estudios de estudiantes de la UPC, llegándose a materializar equipamientos experimentales para validarlos. La investigación amplia y sistemática al respecto hace que se esté más cerca de disponer de una solución de impresión 3D multimaterial de sobremesa. Se determina que la mejor vía de progreso es la de disponer de una pluralidad de cabezales independientes, a fin de capacitar la impresora 3D para integrar diversos conceptos estudiados, materializándose una posible solución. Para cerrar la tesis, se plantea cómo sería un equipamiento de impresión 3D para modelos de ensayo quirúrgico, a fin de servir de base para futuros desarrollos.
Pospíšil, Tomáš. "Vliv provedení zateplení panelového domu v Ostravě na výdaje spojené s jeho provozem". Master's thesis, Vysoké učení technické v Brně. Ústav soudního inženýrství, 2019. http://www.nusl.cz/ntk/nusl-402101.
Pełny tekst źródłaTsai, Zung-En, i 蔡宗恩. "Two-stage Feature Selection: Mass Detection in Mammograms". Thesis, 2005. http://ndltd.ncl.edu.tw/handle/06396308454936502357.
Pełny tekst źródła國立成功大學
資訊工程學系碩博士班
93
CAD system of mass detection is commonly composed of four parts: (1) image pre-processing, (2) feature extraction, (3) feature selection and (4) machine learning (detection and classification). For mass detection system, the first demand is high accuracy, and the next one computing time. Two-stage feature selection is therefore proposed to meet this goal of improving the performance of feature selection. In the first stage, we would apply two measures, correlation coefficient and information gain, to gather highly correlated features into one cluster, and then choose its representative feature by class separability. After choosing the representative feature, we apply SFS or SFFS to pick up the optimal representative feature set of the first-stage feature selection. In the beginning of the second stage, we first aggregate these optimal representative feature set (including their highly correlated features) together. Next, either SFS or SFFS is iteratively applied to gain the last refined optimal feature set. During the investigation of “two-stage feature selection”, we found that optimal feature set selected at the first stage is almost similar to that selected at the second stage. The correct correlation rate in the 1st stage and 2nd stage are often similar, too. We recognized that “representative feature” can be used to almost respond the behavior of the integrated highly correlated features belonged to the same cluster. Furthermore, we could accelerate the computing time by pruning some specific parts of “two-stage feature selection”. However, the more parts we prune, the worse accuracy we gain. There is a tradeoff between speed and accuracy. Since CAD systems are strictly careful about the accuracy, the action to prune some specific parts of two-stage feature selection must be inspected cautiously.
Lee, Jia-Lun, i 李嘉倫. "Improving the probability of correct selection in two - stage ranking and selection method". Thesis, 2017. http://ndltd.ncl.edu.tw/handle/dtyww7.
Pełny tekst źródła國立中央大學
工業管理研究所
105
Ranking and selection is a part of Monte Carlo method selecting the best one among the systems. We apply duplicate sampling to reduce the sampling error in statistic, but ranking and selection have same or less observations to achieve the same or higher probability. This method can be divided into two parts, one is the single-stage selection procedure and the other is the two-stage selection procedure. The single-stage method can’t guarantee the correct selection, so that the two-stage selection method is developed. This thesis, based on the two-stage selection proposed by Rinott (1978), is to find out whether the best case can be selected correctly in multiple systems, and this probability is called probability of correct selection. The two-stage selection method is an extension of the single-stage method, as it samples the observations in the first stage, then sample the observations again according to the condition. In practice, the two-stage selection method can achieve probability of correct selection with less observations. Rinott implemented the Slepian inequality to calculate the probability of correct selection lower bound ensuring the probability of correct selection is higher than the confidence level accessing the mode Rinott proposed, Wilcox also provided the constant h, and the table of constant h. In view of these, this thesis is to enhance the probability of correct selection through the two-stage selection method by using the way of multivariate normal cumulative distribution. Under different circumstances, using this approach allows us to get the higher probability than Rinott’s procedure. We also get the higher correct probability with lower constants h. The new table of constant h will be provided to readers as the references, and using some examples to discuss whether the probability of correct selection is improved.
方信雄. "Two-stage Super Slack-based Measure Approach- Shipping Carrier Selection". Thesis, 2013. http://ndltd.ncl.edu.tw/handle/t8k9d8.
Pełny tekst źródłaChien, Chien-Yu, i 簡健宇. "Two-Stage Risk Assessment Model by GMDH-based Feature Selection". Thesis, 2011. http://ndltd.ncl.edu.tw/handle/21568328175215189126.
Pełny tekst źródła國立交通大學
工業工程與管理學系
99
The main revenue of financial institutions comes from the interest they charge to their enterprises customers. But some customers may not be able to pay their debts back, so financial institutions needs to adopt some risk assessment models to measure this credit risk. Many risk assessment models have been developed to deal with the credit risk; most of them used only one stage classifier, but when those methods have to deal with financial data, which was divided into two categories with large numbers of normal instances and small number of default instances, there may be a large gap in accuracy between these two categories. Too many features used in a risk assessment model without feature selection may cause the problem of Overfitting. This study construction a two-stage risk assessment model using Group Method of Data Handling (GMDH) method and decision tree method. In the first stage, this study designs a GMDH-based feature selection method. A feature ranking method is used to rank the entire feature first, and then uses a feature selection method to choose the most appropriate features into construction the GMDH model. In the second stage a decision tree is used to identify the wrong classification instances and revise them into the right ones. In the end two credit risk data in UCI Repository of Machine Learning database and a real case from a Taiwanese financial institution are used to demonstrate the accurate of the proposed two-stage risk assessment model. This study also compares to other references to see that our study would have the same or better result than other models.
Hsu, Yu-Pin, i 許育賓. "Initial Sample Size Selection for the Two-Stage Sampling Procedure". Thesis, 2012. http://ndltd.ncl.edu.tw/handle/14029638421057712690.
Pełny tekst źródła淡江大學
數學學系碩士班
100
When observations are taken from populations that are normally distributed with unknown and possibly unequal variances, Bishop and Dudewicz (1978) proposed a two-stage sampling procedure for the analysis of variance problem under heteroscedasticity. The procedure is a design-oriented process which requires an initial sample at the first stage and additional observations at the second stage. In this article we discuss the relationship between the initial sample size n_0 and the final total sample size. Two indicators T and R are provided to help selecting the initial sample size.
Lin, Cheng-Feng, i 林正峰. "Using Two-stage Decision Making Techniques in Stocks Portfolio Selection". Thesis, 2009. http://ndltd.ncl.edu.tw/handle/b3bn56.
Pełny tekst źródła國立臺北科技大學
工業工程與管理研究所
97
In 2008, the financial tsunami caused five major U.S. investment banks of Wall Street to close down or transit. It reveals that inappropriate investments cause deficits. A half of capitalization of global stock market has lost about 30.1 trillion U.S. dollar in 2008. It reveals that the volatile stock market easily makes heavy losses to investors. Therefore, how to invest rationally in the stock market with dangerous financial market is a major problem. It reveals this case of stock portfolio is even more critical for investors. Portfolio is a set which is consisted of more than one asset or security, aimed at risk aversion when investors with limited resources. The most important action about Portfolio is that how to formulate asset allocation. That is, investors how to distribute capital to each asset or security in Portfolio. Therefore, how to decide asset allocation of Portfolio rationally is a goal which must be overcome by this study. Asset allocation of Portfolio is a multiple criteria decision making problem. Decision maker faces much of criteria which conflict for each other, there is no ideal solution could meet all the conditions, but it can be generated a compromise solution according to preferences of decision maker. This study combines the views of "Multiple Objectives Programming" with "Multiple Attribute Decision Making" to form a two-stage model, and then exploit them to generate a rational and objective selection. The results showed that, the obtainable alternative of asset allocation could acquire higher return indeed with acceptable risk.
Lin, Ching-Fen, i 林靜芬. "Application of Two-Stage Stochastic Linear Programming for Portfolio Selection Problem". Thesis, 2005. http://ndltd.ncl.edu.tw/handle/8g3zd5.
Pełny tekst źródła中原大學
工業工程研究所
93
In this thesis, a portfolio selection problem with closing the portfolio dynamically is considered. The investment strategy is to take the long position on the stocks and the short position in the index futures which starts from the first date when the futures is issued and ends once the revenue exceeds the predetermined threshold which is thought as both fixed and dynamic during the investment period. If the profit is always unable to exceed the threshold during the investment period, all positions will be closed on the maturity date of the futures. To deal with the uncertainty on closing date of the portfolio, it is modeled as a two-stage stochastic linear programming (two-stage SLP). In the first stage of this SLP, a portfolio is obtained under the safety-first criterion; the second stage determines the extra revenue of this given portfolio if it ends during the investment period. The results will be verified by the real-world data and the purpose is to show that the return of the portfolio is steady, profitable and independent of the market. Keywords: Portfolio selection, Futures, Two-stage stochastic linear program.
Ke, Chao-Hsuan, i 柯兆軒. "Two-Stage Gene Selection Algorithms for Classification of Gene Expression Data". Thesis, 2008. http://ndltd.ncl.edu.tw/handle/85395768415812242759.
Pełny tekst źródła國立高雄應用科技大學
電子與資訊工程研究所碩士班
96
The microarray is a medical diagnostic tool with good efficiency, and it was used for analyzing the behavior characteristic between the gene and disease by the extensive one at present. Microarray data are characterized by a high dimension, which could be analyzed more than thousand of genes and diseases simultaneously. However, it will lead to need more computation time when it is implemented on classification. Many previous literatures showed the feature (gene) selection has some advantage, such as gene extraction which influences classification accuracy effectively, to eliminate the useless genes and improve the calculation performance and classification accuracy. The goal of this study is to select a small set of genes which are useful to the classification task. We proposed a two-stage method using several filter methods to proceed gene ranking and combined the evolutional algorithms on gene expression data to select an optimal gene subset. In this study, an improved particle swarm optimization which introduced a Boolean function was used to improve the disadvantage of standard binary particle swarm optimization as a new evolutional algorithm for gene selection, and both k-nearest neighbor and support vector machine classifiers were used to calculate the classification accuracy. The experimental results revealed that our proposed feature selection method is able to effectively select the relevant gene subset and achieve better classification accuracy than the previous studies.
Chang, Chih-huang, i 張志煌. "A Two-Stage Supplier Selection Approach by DEA and Fuzzy AHP". Thesis, 2008. http://ndltd.ncl.edu.tw/handle/69473744442611640966.
Pełny tekst źródła國立成功大學
工業與資訊管理學系碩博士班
96
Since the globalization of the supply chain has gradually become an irresistible trend, so the number of appropriate suppliers that a business is required to consider has increased. This means that the selection process has become more detailed and time-and-cost consuming, and thus screening potential suppliers is even more important. In this study, we design a two-stage supplier selection procedure. The first step is to use Data Envelop Analysis (DEA) to select a supplier who has high operating efficiency, and the second stage uses the Fuzzy Analytical Hierarchy Process (FAHP), a multi-attribute decision making method, to rank the potential suppliers both objectively and equitably. Using DEA we can screen the inefficient suppliers and begin the further selection with increased efficiency and ease. Accordingly, the methodology proposed in this article is able to help a business choose suitable suppliers for long-term relationships and increased performance.
Wang, Chien-yuan, i 王健源. "A Two-Stage Approach of Feature Selection on Proteomic Spectra Data". Thesis, 2006. http://ndltd.ncl.edu.tw/handle/51035906383723058330.
Pełny tekst źródła國立政治大學
統計研究所
94
Early detection and diagnosis can effectively reduce the mortality of cancer. The discovery of biomarkers for the early detection and diagnosis of cancer is thus an important task. In this study, a real proteomic spectra data set of prostate cancer patients and normal patients was analyzed. The data were collected from a Surface-Enhanced Laser Desorption/Ionization Time-Of-Flight Mass Spectrometry (SELDI-TOF MS) experiment. The SELDI-TOF MS technology captures protein features in a biological sample. Without suitable pre-processing steps to remove experimental noise, a mass spectrum could consists of more than hundreds or thousands of peaks. To narrow down the search for possible protein biomarkers, only those features that can distinguish between cancer and normal patients are selected. Genetic Algorithm (GA) is a global optimization procedure that uses an analogy of the genetic evolution of biological organisms. It’s shown that GA is effective in searching complex high-dimensional space. In this study, we consider GA-Like algorithm (GAL) for feature selection on proteomic spectra data in classifying prostate cancer patients from normal patients. In addition, we propose two types of Two-Stage GAL algorithm (TSGAL) to improve the GAL.
Lan, Yi-Chia, i 藍翊嘉. "A Two-stage Hybrid Approach for Feature Selection in Microarray Analysis". Thesis, 2009. http://ndltd.ncl.edu.tw/handle/12849556366874025409.
Pełny tekst źródła國立高雄應用科技大學
電機工程系
97
In cDNA microarray applications, statistical methods and machine learning techniques have been both widely utilized in recent years. Statistical methods are usually used to the analysis, interpretation, explanation and presentation of data of bioinformatics. On the other hand, in some cases machine learning approaches have been used in biomedical applications of complex diseases such as cancer classification. Due to the high-throughput dimensionality nature of microarray data, how to eliminate redundant features of gene and bypass irrelevant samples is becoming an important issue. In order to improve the effectiveness of supervised machine learning approaches for selecting training samples to enhance classification performance, several feature selection and extraction techniques have been developed. The training samples are selected by different feature selection schemes, and which directly impacts the structure of classification models and therefore generates different results. In order to obtain suitable features, in this study we utilized unsupervised machine learning methods for feature selection, which can cluster similar samples into the same group. We incrementally increased the number of groups for population of training samples and then selected suitable features as our experimental dataset from individual groups. In this study, we also applied different methods as the baseline models to compare with our approach for performance evaluation. Furthermore, we examined the different feature selection methods using several classifiers to perform classification tasks, and the experimental result shows that the performance of the developed approach has better than the baseline methods.
Jui-YangHsu i 許瑞洋. "Two-stage individual gene selection methods based on misclassification cost and accuracy". Thesis, 2010. http://ndltd.ncl.edu.tw/handle/16808233634669487228.
Pełny tekst źródła國立成功大學
資訊管理研究所
98
As the continuous improvement and innovation of bioscience and medical science technologies, scientists developed a series of technologies for gene microarray data to find the relations between diseases and genes. The number of instances in a microar-ray data set is far less than the number of genes in an instances, and lots of genes are irrelevant to a specific disease. Therefore, gene selection is essential to reduce the di-mensionality of a microarray data set. The misclassification costs of different classes are generally different. Previous study performs cost-sensitive gene selection such that the classification accuracy of a microarray data set is greatly reduced. To com-pensate such difficiency, this study considers both misclassification cost and predic-tion accuracy to propose 18 two-stage individual gene selection methods for microar-ray data. The experimental results on eight microarray data sets show that the method adopting probability ranking for misclassification cost in the first stage and t-value ranking for prediction accuracy in the second stage has the best performance evalu-ated by area under cost curve and area under accuracy curve.
Guan-JinWu i 吳冠瑾. "A Study on Two-Stage Customized Bundling with Consideration of Customer Heterogeneity and Self-Selection". Thesis, 2016. http://ndltd.ncl.edu.tw/handle/98658082748955999956.
Pełny tekst źródła國立成功大學
工業與資訊管理學系
104
The rapid growth of commerce and intense product competition enable firms to use various promotion strategies. Bundling strategies have been extensively used in practice. Firms combine two or more products into a bundle and sell bundles at a discounted price to enhance customers’ willingness to purchase products. This study proposes a two-stage customized bundling model, in which a seller first determines the product categories for bundling and allows consumers to select their products from each category with multiple products based on their preferences. Consumers are allowed to select one main product with the greatest perceived value at the first stage. At the second stage, consumers consider the associations between the main and add-on products and then select the add-in product. This study considers the effects that consumer heterogeneity and different product factors have on the two-stage customized bundling strategy with the aims of maximizing the firm’s profit and consumers’ perceived utility. The obtained results indicate that the customized bundling strategy is beneficial for sellers when the degrees of preferences sensitivity for the main and add-in products are both high. Moreover, the profit of customized bundling strategy is positively correlated with product valuation. This study also analyzes the differences between each strategy and uses numerical examples to investigate the other related factors.
Tsai, Chi-lin, i 蔡奇霖. "Election Prediction Based on Voter Turnout and Voting Choice: A Two-Stage Sample Selection Model". Thesis, 2006. http://ndltd.ncl.edu.tw/handle/09340439629182328761.
Pełny tekst źródłaLI, JYUN-JHIH, i 李俊志. "Developing A Decision Model of the Supplier Selection by Using Two-Stage House of Quality". Thesis, 2018. http://ndltd.ncl.edu.tw/handle/3n4kct.
Pełny tekst źródła崑山科技大學
資訊管理研究所
106
With the advancement of information technology, global enterprises have the ability to survive in fierce competition, and there are many factors that affect the competitiveness of enterprises. However, supplier selection (SS) is one of the most important decisions. It is difficult to determine the supplier selection criteria (SSC) required for supplier selection. There are many factors that can influence the results of supplier selection, and the customer's voice is the most indispensable in the production process. In the past, most of the enterprises were OEM (original equipment manufacturing) types. However, recently, companies have noticed the importance of the technical level. Therefore, they have switched to the ODM (own designing manufacturing) business model, so whether the technical capabilities can be produced or not. The customer's products have become a new challenge for ODM companies. This study proposes the use of two-stage HOQ for the ODM enterprise type SS model, taking into account customer requirements (CRs), meeting CRs design requirements (DRs), and SSC that can satisfy DRs, providing accurate The SSC carries out SS, the method combines the binary fuzzy semantics, the Defi method, eliminates the information omission caused by subjective consciousness or semantics in the decision-making process, and leads the opinion leader, causing the decision to be affected, and using ELECTRE I and ELECTRE II. Compare the results of the two methods applied to SS through the case, and use the explicit value to carry out the SS model proposed in this study to explore the impact of the missing information on the decision results.
Kao, Min-Che, i 高敏哲. "A Process-Oriented Mechanism by Two-Stage Fuzzy Decision Analysis for Supplier Selection in New Product Development". Thesis, 2013. http://ndltd.ncl.edu.tw/handle/96764800402510538330.
Pełny tekst źródła明志科技大學
工業工程與管理研究所
102
A company should increase their new product development efficiency to maintain its competitive advantage when product life cycle has been shortening. This may help a company leverage its external suppliers’ technology capabilities when the supplier partners that can meet the company needs are available all over the world, given that the supply chain is following the trend of globalization. However, the development process could thus become very time-consuming because the increased number of available suppliers makes the selection process of suppliers more complex. To deal with this issue, this study proposes a two-stage evaluation structure for selecting new product development suppliers to help a company conduct initial selection of available suppliers and screen out those who are not qualified during the development process, so the complexity of further supplier selection may be reduced. This evaluation structure will first use the DCOR as a basis to construct new product development process that meets a company’s needs. Then, it will apply DSM, DMM, and MDM to analyze the process, organization and components. The analysis results will show the interaction relationship between the organization and the process, the dependent relationship between the organization and components, etc. Along with the supplier’s collaborative capability index, these factors can serve as initial selection criteria for suppliers. Finally, supplier performance index will be applied to these selected suppliers to evaluate the best cooperation partners for the company. Following the steps provided above, a company may conduct the collaborative capability evaluation to select suppliers with excellent interaction capability out of numerous suppliers, so as to shorten the new product development process. Besides, the company may be able to choose correct components from these qualified component suppliers in an appropriate process, so these suppliers can get involved with the early stage of the new product development process and the overall performance of the company can increase.
Huang, Hsing-Wei, i 黃星惟. "The effect of the company''s industry characteristics and management style of corporate governance on the stock returns-the application of Heckman two-stage selection model". Thesis, 2014. http://ndltd.ncl.edu.tw/handle/hkw634.
Pełny tekst źródła國立臺北科技大學
經營管理系碩士班
102
The purpose of this study is to investigate that the effect between corporate governance and stock returns when the company releases the news. Further, to investigate that which factors would affect corporate governance and cause the different results on the stock returns. Therefore in this study is based on Heckman (1979) the two-stage method to resolve endogeneity of corporate governance, and through the sample selection to examine the relationship between corporate governance and stock returns. This will reduce the traditional model estimation bias, and the past research inconsistencies can be interpreted by the results. Our data is collected from the Taiwan Economic Journal Database (TEJ). The objects of study are all of listed companies in Taiwan, deducting incomplete data, a total of 565 samples. The results of this study can help researchers to understand which factors would affect corporate governance quality, and through it to know corporate governance issues. Not only that, we also can find the existence of sample selection bias. By this study, we want to solve the bias problem by Heckman two-stage method, we also want to provide viable recommended for government decision-making units or reference and improvement
Lo, Cheng-Hsuan, i 羅政炫. "A two-stage decision model for selecting suppliers and distributors". Thesis, 2005. http://ndltd.ncl.edu.tw/handle/94652506036379299646.
Pełny tekst źródła國立清華大學
工業工程與工程管理學系
93
Nowadays, companies are searching for some ways to improve their competition by more suitable cooperation, more reasonable contract, etc. The concepts to form a supply chain alliance are framed by many companies that want to gain more advantage. The main purpose of forming a supply chain alliance is to lower product cost, to improve quality and to reduce the amount of time to bring the product to the customers. The purpose of this thesis is to build a two-stage decision model for a broker to select his partners on both the strategic level planning and the tactical level planning. The broker acts as an agent or a decision maker or a company with the core competence. The conclusion is that the two-stage model is useful when choosing the partners, and that we can select our partners properly by setting the proper connecting cost for each candidates. Besides, we find out the difference between the two information flows (one-way flow of information and two way flow of information), and the two-way flow takes advantage in the “Connection time” and the ”Response time for order”.
Wang, Te-Gang, i 王德綱. "A Two-Stage Procedure for Selecting Candidate Models in Bayesian Model Averaging for Factorial Design Experiments". Thesis, 2010. http://ndltd.ncl.edu.tw/handle/33867129155652652365.
Pełny tekst źródłaDas, Priyanka. "Optimal Relay Selection in Interference-Constrained Underlay Cooperative Cognitive Radio". Thesis, 2018. http://etd.iisc.ac.in/handle/2005/4137.
Pełny tekst źródłaHolubová, Markéta. "Změna třídního klimatu po odchodu žáků na osmiletá gymnázia". Doctoral thesis, 2018. http://www.nusl.cz/ntk/nusl-379250.
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