Дисертації з теми "Nonlinear regression analysi"
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Lopresti, Mattia. "Non-destructive X-ray based characterization of materials assisted by multivariate methods of data analysis: from theory to application." Doctoral thesis, Università del Piemonte Orientale, 2022. http://hdl.handle.net/11579/143020.
Повний текст джерелаNARBAEV, TIMUR. "Forecasting cost at completion with growth models and Earned Value Management." Doctoral thesis, Politecnico di Torino, 2012. http://hdl.handle.net/11583/2506248.
Повний текст джерелаSulieman, Hana. "Parametric sensitivity analysis in nonlinear regression." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape15/PQDD_0004/NQ27858.pdf.
Повний текст джерелаCarvalho, Renato de Souza. "Nonlinear regression application to well test analysis /." Access abstract and link to full text, 1993. http://0-wwwlib.umi.com.library.utulsa.edu/dissertations/fullcit/9416602.
Повний текст джерелаNeugebauer, Shawn Patrick. "Robust Analysis of M-Estimators of Nonlinear Models." Thesis, Virginia Tech, 1996. http://hdl.handle.net/10919/36557.
Повний текст джерелаMaster of Science
Galarza, Morales Christian Eduardo 1988. "Quantile regression for mixed-effects models = Regressão quantílica para modelos de efeitos mistos." [s.n.], 2015. http://repositorio.unicamp.br/jspui/handle/REPOSIP/306681.
Повний текст джерелаDissertação (mestrado) - Universidade Estadual de Campinas, Instituto de Matemática Estatística e Computação Científica
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Resumo: Os dados longitudinais são frequentemente analisados usando modelos de efeitos mistos normais. Além disso, os métodos de estimação tradicionais baseiam-se em regressão na média da distribuição considerada, o que leva a estimação de parâmetros não robusta quando a distribuição do erro não é normal. Em comparação com a abordagem de regressão na média convencional, a regressão quantílica (RQ) pode caracterizar toda a distribuição condicional da variável de resposta e é mais robusta na presença de outliers e especificações erradas da distribuição do erro. Esta tese desenvolve uma abordagem baseada em verossimilhança para analisar modelos de RQ para dados longitudinais contínuos correlacionados através da distribuição Laplace assimétrica (DLA). Explorando a conveniente representação hierárquica da DLA, a nossa abordagem clássica segue a aproximação estocástica do algoritmo EM (SAEM) para derivar estimativas de máxima verossimilhança (MV) exatas dos efeitos fixos e componentes de variância em modelos lineares e não lineares de efeitos mistos. Nós avaliamos o desempenho do algoritmo em amostras finitas e as propriedades assintóticas das estimativas de MV através de experimentos empíricos e aplicações para quatro conjuntos de dados reais. Os algoritmos SAEMs propostos são implementados nos pacotes do R qrLMM() e qrNLMM() respectivamente
Abstract: Longitudinal data are frequently analyzed using normal mixed effects models. Moreover, the traditional estimation methods are based on mean regression, which leads to non-robust parameter estimation for non-normal error distributions. Compared to the conventional mean regression approach, quantile regression (QR) can characterize the entire conditional distribution of the outcome variable and is more robust to the presence of outliers and misspecification of the error distribution. This thesis develops a likelihood-based approach to analyzing QR models for correlated continuous longitudinal data via the asymmetric Laplace distribution (ALD). Exploiting the nice hierarchical representation of the ALD, our classical approach follows the stochastic Approximation of the EM (SAEM) algorithm for deriving exact maximum likelihood (ML) estimates of the fixed-effects and variance components in linear and nonlinear mixed effects models. We evaluate the finite sample performance of the algorithm and the asymptotic properties of the ML estimates through empirical experiments and applications to four real life datasets. The proposed SAEMs algorithms are implemented in the R packages qrLMM() and qrNLMM() respectively
Mestrado
Estatistica
Mestre em Estatística
Cui, Chenhao. "Nonlinear multiple regression methods for spectroscopic analysis : application to NIR calibration." Thesis, University College London (University of London), 2018. http://discovery.ucl.ac.uk/10058694/.
Повний текст джерелаFernández-Val, Iván. "Three essays on nonlinear panel data models and quantile regression analysis." Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/32408.
Повний текст джерелаIncludes bibliographical references.
This dissertation is a collection of three independent essays in theoretical and applied econometrics, organized in the form of three chapters. In the first two chapters, I investigate the properties of parametric and semiparametric fixed effects estimators for nonlinear panel data models. The first chapter focuses on fixed effects maximum likelihood estimators for binary choice models, such as probit, logit, and linear probability model. These models are widely used in economics to analyze decisions such as labor force participation, union membership, migration, purchase of durable goods, marital status, or fertility. The second chapter looks at generalized method of moments estimation in panel data models with individual-specific parameters. An important example of these models is a random coefficients linear model with endogenous regressors. The third chapter (co-authored with Joshua Angrist and Victor Chernozhukov) studies the interpretation of quantile regression estimators when the linear model for the underlying conditional quantile function is possibly misspecified.
by Iván Fernández-Val.
Ph.D.
Hyung, Namwon. "Essays on panel and nonlinear time series analysis /." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 1999. http://wwwlib.umi.com/cr/ucsd/fullcit?p9958858.
Повний текст джерелаArai, Yoichi. "Nonlinear nonstationary time series analysis and its application /." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2004. http://wwwlib.umi.com/cr/ucsd/fullcit?p3144311.
Повний текст джерелаZhang, Ying. "Symbolic Regression of Thermo-Physical Model Using Genetic Programming." Scholar Commons, 2004. https://scholarcommons.usf.edu/etd/1316.
Повний текст джерелаKim, Hyun-Joo. "Model selection criteria based on Kullback information measures for Weibull, logistic, and nonlinear regression frameworks /." free to MU campus, to others for purchase, 2000. http://wwwlib.umi.com/cr/mo/fullcit?p9988677.
Повний текст джерелаSahin, Mehmet Altug. "Regional Flood Frequency Analysis For Ceyhan Basin." Master's thesis, METU, 2013. http://etd.lib.metu.edu.tr/upload/12615439/index.pdf.
Повний текст джерелаare the simple additional basin characteristics. Moreover, before the analysis started, stations are clustered according to their basin characteristics by using the combination of Ward&rsquo
s and k-means clustering techniques. At the end of the study, the results are compared considering the Root Mean Squared Errors, Nash-Sutcliffe Efficiency Index and % difference of results. Using additional basin characteristics and making an analysis with multivariate statistical techniques have positive effect for getting accurate results compared to Dalyrmple (1960) Method in Ceyhan Basin. Clustered region data give more accurate results than non-clustered region data. Comparison between clustered region and non-clustered region Q100/Q2.33 reduced variate values for whole region is 3.53, for cluster-2 it is 3.43 and for cluster-3 it is 3.65. This show that clustering has positive effect in the results. Nonlinear Regression Analysis with three clusters give less errors which are 29.54 RMSE and 0.735 Nash-Sutcliffe Index, when compared to other methods in Ceyhan Basin.
Pitrun, Ivet 1959. "A smoothing spline approach to nonlinear inference for time series." Monash University, Dept. of Econometrics and Business Statistics, 2001. http://arrow.monash.edu.au/hdl/1959.1/8367.
Повний текст джерелаKhartabil, Hussam. "Using nonlinear regression analysis and statistical experimental design principles to determine thermal resistance from overall heat exchanger measurements /." The Ohio State University, 1991. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487758680162453.
Повний текст джерелаLind, Ingela. "Regressor and Structure Selection : Uses of ANOVA in System Identification." Doctoral thesis, Linköping : Linköpings universitet, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-7000.
Повний текст джерелаCheng, Yueming. "Pressure transient testing and productivity analysis for horizontal wells." Texas A&M University, 2003. http://hdl.handle.net/1969.1/1187.
Повний текст джерелаYerlikaya, Fatma. "A New Contribution To Nonlinear Robust Regression And Classification With Mars And Its Applications To Data Mining For Quality Control In Manufacturing." Master's thesis, METU, 2008. http://etd.lib.metu.edu.tr/upload/3/12610037/index.pdf.
Повний текст джерелаBiTAK project on quality control. By these applications, MARS and our new method are compared.
Allgaier, Nicholas. "Reverse Engineering the Human Brain: An Evolutionary Computation Approach to the Analysis of fMRI." ScholarWorks @ UVM, 2015. http://scholarworks.uvm.edu/graddis/383.
Повний текст джерелаSando, Simon Andrew. "Estimation of a class of nonlinear time series models." Thesis, Queensland University of Technology, 2004. https://eprints.qut.edu.au/15985/1/Simon_Sando_Thesis.pdf.
Повний текст джерелаSando, Simon Andrew. "Estimation of a class of nonlinear time series models." Queensland University of Technology, 2004. http://eprints.qut.edu.au/15985/.
Повний текст джерелаAlegria, Elvis Omar Jara 1986. "Estimação On-Line de parâmetros dependentes do estado (State Dependent Parameter - SDP) em modelos de regressão não lineares." [s.n.], 2015. http://repositorio.unicamp.br/jspui/handle/REPOSIP/258834.
Повний текст джерелаDissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Elétrica e de Computação
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Resumo: Este trabalho é sobre a identificação recursiva em tempo real das dependências parâmetro-estado em modelos de regressão de series temporais estocásticas. O descobrimento dessas dependências é útil para obter uma nova, e mais acurada, estrutura do modelo. Os métodos recursivos convencionais de estimação de parâmetros variantes no tempo, não conseguem bons resultados quando os modelos apresentam parâmetros dependentes do estado (SDP) pois eles tem comportamento altamente não linear e inclusive caótico. Nossa proposta está baseada no estudo de Peter Young para SDPs no caso Off-Line. É discutido o método que ele propõe para reduzir a entropia das séries nos modelos com SDP e para isto se apresenta umas transformações dos dados. São propostas mudanças no seu algoritmo Off-Line que o fazem mais rápido, eficiente e manejável para a implementação do modo On-Line. Finalmente, três exemplos numéricos são mostrados para validar as nossas propostas e a sua aplicação na área de detecção de falhas paramétricas. Todas as funções foram implementadas no MATLAB e conformam um toolbox para identificação de SDP em modelos de regressão
Abstract: This work is about the identification of the dependency among parameters and states in regression models of stochastic time series. The discovery of that dependency can be useful to obtain a more accurate model structure. Conventional recursive algorithms for estimation of Time Variable Parameters do not provide good results in models with state-dependent parameters (SDP) because these may have highly non-linear and even chaotic behavior. This work is based on Peter Young's studies about Off-Line SDP. Young's methods to data entropy reduction are discussed and some data transformations are proposed for this. Later, are proposed some changes on the Off-Line algorithm in order to improve its velocity, accuracy, and tractability to generate the On-Line version. Finally, three numeric examples to validate our proposal are shown. All the functions were implemented in MATLAB and conform a Toolbox to the SDP identification in regression models
Mestrado
Automação
Mestre em Engenharia Elétrica
Santos, Alessandra dos. "Regressão não linear no desdobramento da interação em experimentos com mais de um fator." Universidade de São Paulo, 2013. http://www.teses.usp.br/teses/disponiveis/11/11134/tde-19022013-153816/.
Повний текст джерелаIn experiments involving a qualitative and a quantitative factor, it is advisable that if a significant interaction is detected between factors in the analysis of variance, one should perform regression analysis of the splitting factors. However, the use of linear regression models is not always the most appropriate way to assess the effect of the quantitative factor. This paper presents a way to fit a nonlinear regression model in an experiment with repeated measurements over time. In the experiment, the weight gain of male and female Santa Inês breed sheep, in pounds, in twelve different ages is measured. Conducted in a split-plot design, as the time factor was not randomized, the analysis of variance requires correction of the degrees of freedom, as the sphericity condition is not satisfied. The Greenhouse and Geisser correction (G-G) was used for the purposes of interaction and time. The F test in the analysis of variance showed a significant result for the interaction between the factors and the splitting of the interaction. In order to evaluate the effect of the time factor at each level of the gender factor, a Gompertz model was proposed, as well as a test of model adherence. After fitting the model to the data, a comparison study of the parameters for males and females was also made. For the proposed analysis, we concluded that the univariate model, with split-plot design, can be used in experiments of animal growth, but its application is prone to verification of the sphericity condition. They also found that the incorporation of the splitting of interactions, by adjusting the Gompertz model, is a viable procedure and allowed to evaluate the real quality of fit. By comparing the fitted parameter values, it was found that males and females have statistically identical values for the parameters α and γ, both related to the birth weight of the animals. The maximum weight expected for a female (40.7 kg) is statistically lower than that found for the males (57.3 kg), however, their growth rate (0.011 kg / day for females) is greater than the males\' (0.007 kg / day for males), i.e., females reach weight stabilization faster than males.
Smejkalová, Veronika. "Aproximace prostorově distribuovaných hierarchicky strukturovaných dat." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2018. http://www.nusl.cz/ntk/nusl-392841.
Повний текст джерелаAltintas, Suleyman Serkan. "Attenuation Relationship For Peak Ground Velocity Based On Strong Ground Motion Data Recorded In Turkey." Master's thesis, METU, 2006. http://etd.lib.metu.edu.tr/upload/12608067/index.pdf.
Повний текст джерелаFrazão, Italo Marcus da Mota. "Modelos com sobreviventes de longa duração paramétricos e semi-paramétricos aplicados a um ensaio clínico aleatorizado." Universidade de São Paulo, 2012. http://www.teses.usp.br/teses/disponiveis/11/11134/tde-13032013-093628/.
Повний текст джерелаSeveral models have been proposed in the literature with the aim of analyzing survival data when the population under study is assumed to be a mixture of susceptible (at risk) and not susceptible individuals to a specific event of interest. Such models are usually called long-term survivors models or cure rate models. In this work, several of these models (under both parametric and semi-parametric approaches) were considered to analyze the data from a randomized clinical trial conducted in order to compare three therapeutic strategies (surgery, angioplasty and medicine) used in the treatment of patients with multivessel coronary artery disease. For all models the logit and complementary log-log link functions were used to model the proportion of long-term survivors (not susceptible individuals). In regards to the survival function of the susceptible individuals, the Weibull and Cox models were used. Covariates were considered both in the proportion of longterm survivors and in the survival function of the susceptible individuals. Overall, the models considered were suitable for analyzing the data from the randomized clinical trial indicating surgery as the most effective therapeutic strategy. They also indicated that the covariates age, hypertension and diabetes mellitus exhibit influence on the occurrence of cardiac death, but not on the time to the occurrence of this death in susceptible patients.
Malik, Mohammad Rafi. "Reduced-orderCombustion Models for Innovative Energy Conversion Technologies." Doctoral thesis, Universite Libre de Bruxelles, 2021. https://dipot.ulb.ac.be/dspace/bitstream/2013/318799/4/TOC.pdf.
Повний текст джерелаLe double défi de l'énergie et du changement climatique mettent en avant lanécessité de développer des nouvelles technologies de combustion, étantdonné que les projections les plus réalistes montrent que la plus grandeaugmentation de l'offre d'énergie pour les décennies à venir se fera à partirde combustibles fossiles. Ceci représente donc une forte motivation pour larecherche sur l'efficacité énergétique et les technologies propres. Parmicelles-ci, la combustion sans flamme est un concept nouvellementdéveloppé qui permet d'obtenir des rendements thermiques élevés avecdes économies de carburant tout en maintenant les émissions polluantes àun niveau très bas. L'intérêt croissant pour cette technologie est égalementmotivé par sa grande flexibilité de carburant, ce qui représente uneprécieuse opportunité pour les carburants à faible valeur calorifique, lesdéchets industriels à haute valeur calorifique et les combustibles à based'hydrogène. Etant donné que cette technologie est plutôt récente, elle estde ce fait encore mal comprise. Les solutions d'une application industriellesont très difficiles à transposer à d'autres. Pour améliorer les connaissancesdans le domaine de la combustion sans flamme, il est nécessaire de menerdes études fondamentales sur ce nouveau procédé de combustion afin defavoriser son développement. En particulier, il y a deux différencesmajeures par rapport aux flammes classiques :d’une part, les niveaux deturbulence rencontrés dans la combustion sans flamme sont rehaussés, enraison des gaz de recirculation, réduisant ainsi les échelles de mélange.D'autre part, les échelles chimiques sont augmentées, en raison de ladilution des réactifs. Par conséquent, les échelles turbulentes et chimiquessont du même ordre de grandeur, ce qui conduit à un couplage très fort.Après un examen approfondi de l'état de l'art sur la modélisation de lacombustion sans flamme, le coeur du projet représentera le développementd'une nouvelle approche pour le traitement de l'interaction turbulence /chimie pour les systèmes sans flamme dans le contexte des simulationsaux grandes échelles (Large Eddy Simulations, LES). Cette approche serafondée sur la méthode PCA (Principal Component Analysis) afin d'identifierles échelles chimiques de premier plan du processus d'oxydation. Cetteprocédure permettra de ne suivre sur la grille LES qu'un nombre réduit descalaires non conservés, ceux contrôlant l'évolution du système. Destechniques de régression non-linéaires seront couplées avec PCA afind’augmenter la précision et la réductibilité du modèle. Après avoir été validégrâce à des données expérimentales de problèmes simplifiés, le modèlesera mis à l'échelle afin de gérer des applications plus grandes, pertinentespour la combustion sans flamme. Les données expérimentales etnumériques seront validées en utilisant des indicateurs de validationappropriés pour évaluer les incertitudes expérimentales et numériques.
Doctorat en Sciences de l'ingénieur et technologie
info:eu-repo/semantics/nonPublished
Kucukarslan, Sertac. "A Finite Element Study On The Effective Width Of Flanged Sections." Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/12612180/index.pdf.
Повний текст джерелаTarek, Md Tawhid Bin. "Optimal High-Speed Design and Rotor Shape Modification of Multiphase Permanent Magnet Assisted Synchronous Reluctance Machines for Stress Reduction." University of Akron / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=akron1510617496931844.
Повний текст джерелаLindén, David. "Exploration of implicit weights in composite indicators : The case of resilience assessment of countries’ electricity supply." Thesis, KTH, Hållbar utveckling, miljövetenskap och teknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-239687.
Повний текст джерелаKompositindikatorer (eller index) är populära verktyg som ofta används vid rankning och benchmarking av olika alternativ utifrån komplexa koncept. Syftet med att konstruera ett index är, bland annat, att förenkla och sammanfatta informationen från ett flertal underliggande indikatorer. För att undvika missvisande resultat är det därmed viktigt att konstruera index på ett transparent och representativt sätt. Med detta i åtanke, avser denna uppsats att stödja konstruktionen av Electricity Supply Resilience Index (ESRI) – vilket är ett nyutvecklat energiindex, framtaget inom Future Resilient Systems (FRS) programmet på Singapore-ETH Centre (SEC). Detta görs genom att studera ett vanligt fenomen (s.k. implicita vikter) som gör sig gällande i ett av konstruktionsstegen, då de underliggande indikatorerna ska viktas och aggregeras till ett index. I detta steg tilldelas vanligtvis vikter till de enskilda indikatorerna som ska spegla deras relativa betydelse i indexet. Det har dock nyligen visats att datastrukturen och korrelationer mellan indikatorerna har en avgörande påverkan på varje indikators betydelse i indexet, vilket ibland kan vara helt oberoende av vikten de tilldelats. Detta fenomen kallas ibland för implicita vikter, då de ej är explicit tilldelade utan uppkommer från datastrukturen. Syftet med denna uppsatts är således att undersöka de implicita vikterna i aggregationen av ESRI. För detta ändamål sker en tillämpning och utökning av en nyutvecklad variansbaserad känslighetsanalys, baserad på olinjär regression, för bedömning av implicita vikter i kompositindikatorer. Resultaten från denna analys visar att statistiska beroenden mellan ESRIs underliggande indikatorer har direkt inverkan på varje indikators betydelse i indexet. Detta medför att vikterna ej överensstämmer med indikatorernas betydelse. Följaktligen utförs en vikt-optimering, för att balansera bidraget från varje indikator. Utifrån resultaten av denna vikt-optimering kan det konstateras att det inte är tänkbart att balansera bidraget från varje indikator genom att justera vikterna. Om så görs, skulle det ske på bekostnad av att kunna representera varje indikator på ett effektivt sätt. Därmed kan slutsatsen dras att det finns tydliga beroenden mellan indikatorer och att deras korrelationerna måste tas i hänsyn för att uppnå en balanserad och representativ indexkonstruktion. Utifrån dessa insikter presenteras tre rekommendationer för att förbättra den statistiska representationen och konceptuella samstämmigheten i ESRI. Dessa innefattar: (1) Undvik att aggregera en negativt korrelerad indikator - behåll den vid sidan av, (2) ta bort en konceptuellt problematisk indikator - revidera dess konstruktion eller konceptuella bidrag, och (3) sammanställ tre kollinära och konceptuellt överlappande indikatorer i ett sub-index, före aggregering - begränsa deras överrepresentation. När dessa rekommendationer implementerats står det klart att den reviderade ESRI påvisar en förbättrad konceptuell och statistisks samstämmighet. Därmed kan det fastställas att det analytiska verktyg som presenteras i denna uppsats kan bidra till utvecklingen av representativa index.
Havlíček, David. "Vytvoření nových predikčních modulů v systému pro dolování z dat na platformě NetBeans." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2009. http://www.nusl.cz/ntk/nusl-236768.
Повний текст джерелаYamin, Moh'd. "LANDSLIDE STABILIZATION USING A SINGLE ROW OF ROCK-SOCKETED DRILLED SHAFTS AND ANALYSIS OF LATERALLY LOADED DRILLED SHAFTS USING SHAFT DEFLECTION DATA." University of Akron / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=akron1196960547.
Повний текст джерелаSánchez, Rocio Paola Maehara. "An extension of Birnbaum-Saunders distributions based on scale mixtures of skew-normal distributions with applications to regression models." Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/45/45133/tde-14052018-202935/.
Повний текст джерелаO objetivo deste trabalho é apresentar um estudo de inferência e diagnóstico em uma extensão da família de distribuições de tempos de vida proposta por Birnbaum e Saunders (1969a,b). Esta extensão é obtida ao considerar uma distribuição skew-elíptica em lugar da distribuição normal. Especificamente, neste trabalho desenvolveremos um tipo de distribuição Birnbaum-Saunders (BS) baseda nas distribuições mistura de escala skew-normal (MESN). Esta família resultante de distribuições de tempos de vida representa uma extensão robusta da distribuição BS usual. Baseado nesta família, vamos reproduzir as propriedades usuais da distribuição BS, e apresentar um método de estimação baseado no algoritmo EM. Além disso, vamos apresentar modelos de regressão associado à distribuições BS (baseada na distribuição mistura de escala skew-normal), que é desenvolvida como uma extensão da distribuição senh-normal (Rieck e Nedelman, 1991), para estes vamos considerar um estudo de estimação e diagnóstisco para dados sem censura.
MORASCHINI, LUCA. "Likelihood free and likelihood based approaches to modeling and analysis of functional antibody titers with applications to group B Streptococcus vaccine development." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2015. http://hdl.handle.net/10281/76794.
Повний текст джерелаGonzález, Rojas Victor Manuel. "Análisis conjunto de múltiples tablas de datos mixtos mediante PLS." Doctoral thesis, Universitat Politècnica de Catalunya, 2014. http://hdl.handle.net/10803/284659.
Повний текст джерелаEl contenido fundamental de esta tesis corresponde al desarrollo de los métodos GNM-NIPALS, GNM-PLS2 y GNM-RGCCA para la cuantificación de las variables cualitativas a partir de las primeras k componentes proporcionadas por los métodos apropiados en el análisis de J matrices de datos mixtos. Estos métodos denominados GNM-PLS (General Non Metric Partial Least Squares) son una extensión de los métodos NM-PLS que toman sólo la primera componente principal en la función de cuantificación. La trasformación de las variables cualitativas se lleva a cabo mediante procesos de optimización maximizando generalmente funciones de covarianza o correlación, aprovechando la flexibilidad de los algoritmos PLS y conservando las propiedades de pertenencia grupal y orden si existe; así mismo se conservan las variables métricas en su estado original excepto por estandarización. GNM-NIPALS ha sido creado para el tratamiento de una (J=1) matriz de datos mixtos mediante la cuantificación vía reconstitución tipo ACP de las variables cualitativas a partir de una función agregada de k componentes. GNM-PLS2 relaciona dos (J=2) conjuntos de datos mixtos Y~X mediante regresión PLS, cuantificando las variables cualitativas de un espacio con la función agregada de las primeras H componentes PLS del otro espacio, obtenidas por validación cruzada bajo regresión PLS2. Cuando la matriz endógena Y contiene sólo una variable de respuesta el método se denomina GNM-PLS1. Finalmente para el análisis de más de dos bloques (J>2) de datos mixtos Y~X1+...+XJ a través de sus variables latentes (LV) se implementa el método NM-RGCCA basado en el método RGCCA (Regularized Generalized Canonical Correlation Analysis) que modifica el algoritmo PLS-PM implementando el nuevo modo A y especifica las funciones de maximización de covarianzas o correlaciones asociadas al proceso. La cuantificación de las variables cualitativas en cada bloque Xj se realiza mediante la función inner Zj de dimensión J debido a la agregación de las estimaciones outer Yj. Tanto Zj como Yj estiman la componente ξj asociad al j-ésimo bloque.
Běhounek, Tomáš. "Imaging Reflectometry Measuring Thin Films Optical Properties." Doctoral thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2009. http://www.nusl.cz/ntk/nusl-233857.
Повний текст джерелаCayemitte, Jean-Marie. "Accumulation des biens, croissance et monnaie." Thesis, Paris 2, 2014. http://www.theses.fr/2014PA020001/document.
Повний текст джерелаThis thesis constructs a theoretical model that renews the traditional approach of the market equilibrium. By introducing into the neoclassical paradigm the principle of preference for quantity, it optimally generates inventories within a competitive market. The results are very important since they explain both the emergence of unsold goods and the existence of economic cycles. In addition, it studies the optimal behavior of a monopolist whose the market power depends not only on the quantity of displayed goods but also that of goods that the main consumer is willing to buy. Contrary to the traditional assumption that the monopolist chooses price or quantity that maximizes its profit, through a generalized Lerner index (GLI) it attracts customers’ demand by both the price and the quantity of displayed goods. Whatever the market structure, the phenomenon of inventory accumulation appears in the economy. Furthermore, it has the advantage of explicitly explaining impulse purchases untreated by economics. To check the robustness of the results,the theoretical model is fitted to U.S. data. Due to its nonlinearity, the Gauss-Newtonmethod is appropriate to highlight the impact of consumers’ preference for quantity on production and accumulation of goods and consequently GDP forecast. Finally, this thesis builds a two-country overlapping generations (OLG) model which extends the dynamic OLG equilibrium to a frictionless dynamic OLG gamma-equilibrium. Based on the cash-inadvance constraint, it highlights the conditions of over-accumulation of capital and welfare implications of capital mobility in a context of accumulation of stock of unsold goods
"Weighted quantile regression and oracle model selection." Thesis, 2009. http://library.cuhk.edu.hk/record=b6074984.
Повний текст джерелаKeywords: Weighted quantile regression, Adaptive-LASSO, High dimensionality, Model selection, Oracle property, SCAD, DTARCH models.
Under regularity conditions, I establish asymptotic distributions of the proposed estimators, which show that the model selection methods perform as well as if the correct submodels are known in advance. I also suggest an algorithm for fast implementation of the proposed methodology. Simulations are conducted to compare different estimators, and a real example is used to illustrate their performance.
Jiang, Xuejun.
Adviser: Xinyuan Song.
Source: Dissertation Abstracts International, Volume: 73-01, Section: B, page: .
Thesis (Ph.D.)--Chinese University of Hong Kong, 2009.
Includes bibliographical references (leaves 86-92).
Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web.
Electronic reproduction. [Ann Arbor, MI] : ProQuest Information and Learning, [201-] System requirements: Adobe Acrobat Reader. Available via World Wide Web.
Velázquez, Ricardo. "Nonlinear measurement error models with multivariate and differently scaled surrogates /." 2002. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&res_dat=xri:pqdiss&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&rft_dat=xri:pqdiss:3070224.
Повний текст джерелаHsu, Wen-Jun, and 許文俊. "The Application of Focus Measure Algorithms Combined with the Nonlinear Regression Analysis." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/16272799303948633960.
Повний текст джерела國立高雄師範大學
物理學系
93
In this research, we use stepper motor, CCD camera and GPIB interface card to form optical autofocusing system, draw and perform by three kinds of filter algorithms to do treatment plainly separately in image that and then seize CCD, and then we utilize nonlinear regression to guess the extreme value and move the stepper motor fast; In addition, we test accuracy of autofocusing system to three different patterns in the experiment, and compare the results guessed in nonlinear regression and searching of the whole range of the stepper motor (global search ). The results can apply in the autofocusing procedure of microscope, adaptive optics, material process, storage materials and optics examine.
Lee, Sooyoung. "Statistical inference of nonlinear Granger causality: a semiparametric time series regression analysis." Thesis, 2013. http://hdl.handle.net/2440/81576.
Повний текст джерелаThesis (M.Phil.) -- University of Adelaide, School of Mathematical Sciences, 2013
Jheng, Yu-lun, and 鄭宇倫. "Nonlinear Regression Models on Site Traffic Impact Analysis–The Case of Taipei County." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/2dtj74.
Повний текст джерела國立中央大學
土木工程研究所
97
In the metropolitan areas, the existing shortage of transport facilities of site development often caused serious traffic impact in the neighborhood. However, the detailed traffic impact assessment (TIA) on the prior of its planning and evaluation would cost a huge amount of money on surveying and analysis. Therefore, regarding the common site development of a metropolis, the study hoped using a simpler way of regression analysis to establish a forecasting model and estimate the road traffic impact more efficiently. The mainstream of the study were based on the nonlinear regression analysis which established the forecasting model of road traffic impact, and it referred to the past literatures, the implemented experiences and every related provision about traffic impact. Furthermore, it considered the feasibility of collected data and constructed model initially with related variables between major and objective bases which selected from every development project. Due to the consideration of existing nonlinear relationship between variables, it required to transform the used variables into a linear relationship by variable transformation, and then estimated the relevant parameters, finally, established a complete nonlinear traffic impact forecasting model. The experimental objects were the final drafts of traffic impact reports from Taipei County site cases at 2007 and 2008, the results revealed that this regression forecasting model could get a great outcome. However, the poor characteristics of the sample data could be seen from the experimental objects through the model accuracy. It could be applied to forecast the impact of general site development analysis at other metropolitan areas in the future, and cooperated to the traffic present situation or other impact evaluation criteria, and even combined with each local geographic information system and spatial database, so that it facilitated to acquire samples and provided a basis of preliminary investigation and assessment on traffic impact from site development.
HSU, CHEN-WANG, and 徐鎮旺. "Analysis Nonlinear Threshold Effects on Oversea Tour aspiration – Panel Smooth Transition Regression Approach." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/6928p8.
Повний текст джерела開南大學
觀光運輸學院碩士在職專班
103
With the coming of ageing society by average age increase, distribution for population age exist structure change condition in addition, economic growth also tend to easy and smooth, at the atmosphere of focusing recreation, oversea tour has been a trend in domestic hence, it is more worth to investigate the effect factors on oversea tour. This paper investigate the affection factors of Taiwanese oversea tour aspiration by panel data smooth transition regression method to control other factors which can affect oversea tour aspiration and potentially explain the heterogeneity exit in time and the aspiration to oversea tour to different countries. First, we provide the evidence of people numbers for oversea tour is varied with time and changed smoothly by nonlinear characters and be determined by exchange rate and oil price volatility. Second, explanatory variables correspond to the threshold of transition variable will present negative marginal effects, it means that variables to oversea tour is not constant but variables with time and price cost. Finally, when adopt exchange rate to be threshold, transition speed of the model is 20 times higher then that of threshold of oil price. It means that exchange rate reflect to oversea tour cost is higher and faster then that comes from oil price and can reflect to the aspiration of oversea tour immediately.
Sun, Jia-Wei, and 孫嘉偉. "Nonlinear regression analysis in the Presence of Censored Response and Error-Prone Predictors." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/30546346636481989590.
Повний текст джерела國立彰化師範大學
統計資訊研究所
95
In many regression problems the regressor is usually measured witherrors. Errors in the predictors can cause severe bias in estimation unless some auxiliary adjustment has been made. Nonlinear measurement error models have received progressive attention since Carroll and Li's (1992) paper appeared. Besides, regression techniques, e.g. scatterplot, can suggest the forms of the models. But for censored responses, these techniques might fail. In order to resolve the problem caused by unobserved censored data, Fan and Gijbel (1994) proposed a Kaplan-Meier like approach. Based on regression calibration proposed by Carroll and Li (1992) as well as a Kaplan-Meier like Transformation for censored data proposed by Fan and Gijbel (1994) in dealing with the nonparametric regression model with censored response, we may consider several general models for those defective data sets with both censored responses and error-prone explanatory variables. The aims of this thesis are twofold: first, to consider a general partially linear single-index models with censored response and error-prone regressors, and to estimate the parameters as well as the unknown link function; second, to consider the problem of dimension reduction of a nonlinear model with unknown link function for censored dependent variable and independent variables with measurement errors. In seeking to reach these objectives, we modify both of Lu and Cheng's (2007) and Lue's (2004) approach to simultaneously overcome the difficulty of estimations caused by censored responses and error-prone regressors. Moreover, we generalize both of their works. The illustrative simulation results verify the validity of our method.
Chen, Yakuan. "Methods for functional regression and nonlinear mixed-effects models with applications to PET data." Thesis, 2017. https://doi.org/10.7916/D87W6QJ9.
Повний текст джерелаYang, Jung-Li, and 楊榮力. "Financial Time Series Forecasting using Nonlinear Independent Component Analysis, Support Vector Regression and Neural Network." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/n756e7.
Повний текст джерела國立臺北科技大學
商業自動化與管理研究所
97
There are a lot of factors in time series, because have non-linear relation among these factors, it is often unable to receive useful information to observe directly. It is actually a difficult task because of the many correlated factors that become involved. Nonlinear Independent component analysis (NLICA) is a novel feature extraction technique. It aims at recovering independent sources from their mixtures, without knowing the mixing procedure or any specific knowledge of the sources. In this research a time series prediction model integrating NLICA and BPN/SVR is proposed for stock price. The proposed approach first uses NLICA on the input space composed of original forecasting variables into the feature space consisting of independent components representing hidden information of the original data. The hidden information of the original data could be discovered in these ICs. The ICs are then used as the input variables of the BPN and SVR for building the prediction model. In order to evaluate the performance of the proposed approach, the time series used as the illustrative example.
Robledo, Ricardo Luis. "Nonlinear Stochastic Analysis of Motorcycle Dynamics." Thesis, 2013. http://hdl.handle.net/1911/72032.
Повний текст джерелаFan, Cheng-Jui, and 范成瑞. "Financial Time Series Forecasting using Nonlinear Independent Component Analysis, Particle Swarm Optimization and Support Vector Regression." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/446ay9.
Повний текст джерела國立臺北科技大學
商業自動化與管理研究所
98
Stock market is complicated and sensitive, which could be easily influenced by many factors. Due to there are nonlinear relationships between these factors and exist noise, using raw data to make predictions often cannot obtain good performance. So, we employ feature extraction methods to transform stock price data into feature space to reduce the drawbacks which above-mentioned and to rise the effectiveness of prediction outputs. In this research, nonlinear independent component analysis (NLICA) is applied as feature extraction method to time series data in order to discover hidden information, and particle swarm optimization (PSO) is applied as parameter-optimizing tool of support vector regression (SVR) to build up NLICA-PSO-SVR integrated time series forecasting model. The proposed model is compared with models which are integrated with other feature extraction methods. Due to NLICA can extract independent components (ICs) which are representing the main trend of stock price from observed data effectively, the performance of proposed model is better than other integrated models. On the other hand, integrating PSO to forecasting model can reduce computing cost and time-wasting dramatically and is also beneficial to forecasting performance.
Sadri, Sara. "Frequency Analysis of Droughts Using Stochastic and Soft Computing Techniques." Thesis, 2010. http://hdl.handle.net/10012/5198.
Повний текст джерелаChen, Chien-Feng, and 陳建豐. "The Application of Discrete Cosine Transform (DCT) Combined with the Nonlinear Regression Analysis on Optical Auto-Focusing." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/15902479623677292509.
Повний текст джерела國立高雄師範大學
物理學系
96
This research presents a fast and accurate real-time optical auto-focusing system, which utilizes a frequency component of the discrete cosine transform (DCT) as the focus measure. Besides, a nonlinear regression routine is combined in the algorithm to quickly move a rotational stepper motor to the best focus. The concise and effective algorithm can be applied to digital cameras, microscopes and optical inspection instruments.