Relevant bibliographies by topics / Non-parametric efficiency model

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Non-parametric efficiency model'

Author: Grafiati
Published: 4 May 2024

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Journal articles on the topic "Non-parametric efficiency model"

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Thi Vu, Loan, Nga Thu Nguyen, and Linh Hong Dinh. "Measuring banking efficiency in Vietnam: parametric and non-parametric methods." Banks and Bank Systems 14, no. 1 (2019): 55–64. http://dx.doi.org/10.21511/bbs.14(1).2019.06.

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The article aims to evaluate the business efficiency of commercial banks in Vietnam using both parametric and non-parametric approaches. In this study, the Stochastic Frontier Analysis (SFA), which belongs to a parametric method, and Data Envelopment Analysis (DEA), a non-parametric approach, are applied to a sample of 30 joint stock commercial banks in Vietnam in the period of 2011–2015. Applying Tobit regression model, the impact of bank size, bank age, and the ownership feature on the efficiency of bank service industry in Vietnam is also investigated. The analysis results show that in gene
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Murillo, Kelly Patricia. "A non-parametric dynamic model for measuring efficiency." Selecciones Matemáticas 10, no. 02 (2023): 324–32. http://dx.doi.org/10.17268/sel.mat.2023.02.08.

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Conventional efficiency evaluation systems present little diversity in the type of variables considered. This aspect generally leads to errors in the application of the models and in the corresponding interpretation of results. This study proposes a dynamic model to measure the efficiency of decision-making units, based on non-parametric Multidirectional Efficiency Analysis (MEA). The model presented here considers a complete structure, which includes intertemporal variables (desirable/undesirable intermediate inputs and outputs), discretionary/non-discretionary inputs; desirable/undesirable i
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Matulova, Marketa, and Jana Rejentova. "Efficiency of European Airports: Parametric Versus Non-parametric Approach." Croatian Operational Research Review 12, no. 1 (2021): 1–14. http://dx.doi.org/10.17535/crorr.2021.0001.

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This paper presents a performance evaluation of European airports, based on the application of both parametric and non-parametric approaches. We have evaluated the 115 busiest airports in Europe according to the number of passengers checked-in in 2018. The four inputs we used were the number of Terminals, Runways, Boarding gates, and Aircraft stands. Three variables were used to describe the outputs, namely, Passengers, Movements, and Cargo. The parametric method we chose to apply was the Stochastic Frontier Analysis (SFA) with the Cobb-Douglas production function, the Half-Normal distribution
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Wang, Shouhong. "Adaptive non-parametric efficiency frontier analysis: a neural-network-based model." Computers & Operations Research 30, no. 2 (2003): 279–95. http://dx.doi.org/10.1016/s0305-0548(01)00095-8.

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Stavárek, Daniel, and Iveta Řepková. "Efficiency in the Czech banking industry: A non-parametric approach." Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 60, no. 2 (2012): 357–66. http://dx.doi.org/10.11118/actaun201260020357.

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This paper estimates the efficiency of the Czech commercial banks in the period 2001–2010 using the non-parametric Data Envelopment Analysis. We simultaneously use two alternative specifications – CCR model and BCR model – that differ in returns to scale assumption. Differences in estimated efficiency scores of individual banks are quite large up to 70 percentage points. Largest banks perform significantly worse than mid-size and small banks. This efficiency gap decreases if variable returns to scale are considered in the estimation. The average efficiency in the banking sector remained nearly
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Wang, Yue, Valerie M. LeMay, and Peter L. Marshall. "Relative efficiency and reliability of parametric and nonparametric sequential accuracy testing plans." Canadian Journal of Forest Research 26, no. 10 (1996): 1724–30. http://dx.doi.org/10.1139/x26-196.

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The relative efficiency and reliability of parametric and nonparametric sequential accuracy testing plans were investigated using Monte Carlo techniques with normal and non-normal distribution generators. For the normal distributions, zero (no equation bias) and nonzero (some equation bias) means were simulated. For normal distributions with a nonzero mean, a modified nonparametric testing plan was developed and compared with the bias-free parametric test. The parametric testing plans resulted in average sample numbers to reach a terminal decision that were 20–40% smaller than the nonparametri
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Pool, Sandra, Marc Vis, and Jan Seibert. "Evaluating model performance: towards a non-parametric variant of the Kling-Gupta efficiency." Hydrological Sciences Journal 63, no. 13-14 (2018): 1941–53. http://dx.doi.org/10.1080/02626667.2018.1552002.

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Hlali, Arbia. "Efficiency Analysis with non parametric method: Illustration of the Tunisian ports." Logistics & Sustainable Transport 9, no. 1 (2018): 51–58. http://dx.doi.org/10.2478/jlst-2018-0005.

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AbstractThis paper applies a non-parametric method to provide level technical efficiency for 7 Tunisian ports during 18 years (1998-2015). These ports represent different data set. The use of the model of variable returns to scale (VRS) has led to interesting results. The results show that the most ports are characterized by low levels of technical efficiency, with the exception port of Rades. In addition, the result shows the variation of variable returns to scale and constant returns to scale of technical port’s efficiency. Furthermore, we concluded that the panel data improves the efficienc
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Koldanov, Petr, and Vladimir Koldanov. "Nonparametric procedure for comparing the performance of divisions of a network organization." Business Informatics 18, no. 1 (2024): 52–64. http://dx.doi.org/10.17323/2587-814x.2024.1.52.64.

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To solve the problem of comparative efficiency analysis of branch operations for a small volume of randomly observed data, a non-parametric approach is relevant, since it does not require a probabilistic model of observations. Comparing the results of the non-parametric approach with the results obtained within the traditionally used Gaussian model is also relevant. Additionally, obtaining a consistent comparison of a group (of no less than three) branches is important. Currently, the non-parametric approach and the corresponding comparison with the known results of solving the problem conside
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Wang, Hao, Long Zheng, and Shunhuai Chen. "Marine Propeller Optimization Based on a Novel Parametric Model." Mathematical Problems in Engineering 2022 (March 30, 2022): 1–19. http://dx.doi.org/10.1155/2022/5612793.

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This paper presents a novel parametric model of marine propellers based on Non-Uniform Rational B-Splines. It involves eight parameters and five categories of spanwise parameter distributions, which are utilized for determining hydrofoil and blade shapes. 20 different hydrofoils and 5 types of well-known marine propellers are employed to detect the accuracy of the proposed parametric model. Furthermore, a propeller optimization problem was addressed with the aid of the parametric model. In the propeller optimization problem, a common AU-series propeller is treated as the baseline propeller. Th
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Dissertations / Theses on the topic "Non-parametric efficiency model"

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GITTO, SIMONE. "The measurement of productivity and efficiency: theory and applications." Doctoral thesis, Università degli Studi di Roma "Tor Vergata", 2009. http://hdl.handle.net/2108/835.

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Questa tesi discute diversi metodi per la stima della produttivita’ ed efficienza. Sono discussi i recenti miglioramenti nelle tecniche di stima con tre diverse applicazioni. Nella prima applicazione, l’indice di Tornqvist e’ usato per stimare la produttivita’ totale dei fattori di Alitalia, la principale compagnia area Italiana. Nella seconda applicazione, la DEA boostrata e’ impiegata per investigare l’efficienza e le caratteristiche manageriali degli aeroporti italiani. Nella terza applicazione, uno stimatore iperbolico alpha-quantile e’ utilizzato nello studio dell’efficienza e della pro
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Nacanabo, Amade. "Impact des chocs climatiques sur la sécurité alimentaire dans les pays sahéliens : approches macroéconomiques et microéconomiques." Electronic Thesis or Diss., Toulon, 2021. http://www.theses.fr/2021TOUL2007.

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Utilisé très souvent de façon métaphorique pour désigner les franges méridionales du Sahara, le Sahel du fait de sa position géographique est une région vulnérable au changement climatique. L’agriculture est fortement pluviale et largement dépendante des conditions climatiques. La prise en compte du changement climatique est indispensable dans la réalisation de la sécurité alimentaire au Sahel. En alliant travaux empiriques et théoriques, cette thèse se propose de contribuer à une meilleure compréhension de l’incidence du changement climatique sur la sécurité alimentaire au Sahel au niveau mic
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Veiderpass, Ann. "Swedish retail electricity distribution : a non-parametric approach to efficiency and productivity change /." Göteborg : Nationalekonomiska institutionen, Handelshögsk, 1993. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=005095660&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.

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Silva, Tarcio Lopes da. "Análise dos modelos não paramétricos de avaliação de eficiência e a performance dos bancos comerciais brasileiros." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2006. http://hdl.handle.net/10183/10556.

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O principal objetivo deste trabalho é descrever e analisar do ponto de vista teórico os principais métodos não paramétricos de avaliação de eficiência e avaliar empiricamente os resultados gerados por esses diferentes métodos aplicados a um mesmo conjunto de dados. Com essa finalidade, realizou-se diversas simulações teóricas para fins comparativos dos tradicionais estimadores DEA e FDH, inclusive de seus procedimentos para inferência e correção de viés, e dos novos estimadores de ordem m e quantil. Empiricamente, utilizamos uma amostra de 184 bancos comerciais brasileiros no período de Junho/
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Aye, Goodness Chioma. "Sensitivity and integration of efficiency estimates from input distance functions and stochastic production frontiers : application to maize production in Benue State Nigeria." Thesis, 2011. http://hdl.handle.net/2263/28829.

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The selection of a suitable model for efficiency analysis is one of the most important issues in policy analysis. Given the recent interest in the use of distance functions as alternative representation of production technology, this study compares the empirical performances of the parametric stochastic input distance function to its nonparametric counterpart, data envelopment analysis. A further comparison is made between the alternatives of a distance and production function frontiers. It further integrates efficiency scores from the consistent approaches in order to evaluate the performance
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Κοντόλαιμου, Αλεξάνδρα. "Διερεύνηση της παραγωγικής αποτελεσματικότητας στο ευρωπαϊκό τραπεζικό σύστημα υπό καθεστώς πολλαπλής τεχνολογικής ετερογένειας : ο ρόλος της διάχυσης της γνώσης, της ικανότητας απορρόφησης και του στρατηγικού προσανατολισμού των τραπεζικών επιχειρήσεων". Thesis, 2010. http://nemertes.lis.upatras.gr/jspui/handle/10889/4189.

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Στην παρούσα διατριβή αναπτύσσεται ένα ολοκληρωμένο μεθοδολογικό πλαίσιο για την ανάλυση της παραγωγικής αποτελεσματικότητας επιχειρήσεων που λειτουργούν σε περιβάλλον πολλαπλής τεχνολογικής ετερογένειας. Με βάση την έννοια των μετα-μεταορίων, ορίζονται μέτρα αποτελεσματικότητας και τεχνολογικών χασμάτων σε κάθε επίπεδο τεχνολογικής ετερογένειας, τα οποία, σε ένα δεύτερο στάδιο, «αποδομούνται» σε παράγοντες σταθερούς ως προς τις εισροές και παράγοντες σταθερούς ως προς τις εκροές. Η προτεινόμενη μεθοδολογία χρησιμοποιείται για την διερεύνηση της παραγωγικής αποτελεσματικότητας των ευρωπαϊκών
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Books on the topic "Non-parametric efficiency model"

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Veiderpass, Ann. Swedish retail electricity distribution: A non-parametric approach to efficiency and productivity change. [Gothenburg School of Economics?], 1993.

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Book chapters on the topic "Non-parametric efficiency model"

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Rashidghalam, Masoomeh. "Parametric and Non-parametric Models for Efficiency Measurement." In Measurement and Analysis of Performance of Industrial Crop Production: The Case of Iran’s Cotton and Sugar Beet Production. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-0092-9_4.

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Simar, Léopold. "Estimating Efficiencies from Frontier Models with Panel Data: A Comparison of Parametric, Non-Parametric and Semi-Parametric Methods with Bootstrapping." In International Applications of Productivity and Efficiency Analysis. Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-017-1923-0_11.

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Kaiser, Bruna Cristina Siqueira, Renan Silva Santos, Rodrigo Goyannes Gusmão Caiado, Luiz Felipe Scavarda, and Paulo Ivson Netto. "Efficiency Assessment of Public Transport Vehicles Using Machine Learning and Non-parametric Models." In Springer Proceedings in Mathematics & Statistics. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-14763-0_17.

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Nowozin, S., C. Rother, S. Bagon, T. Sharp, B. Yao, and P. Kohli. "Decision Tree Fields: An Efficient Non-parametric Random Field Model for Image Labeling." In Decision Forests for Computer Vision and Medical Image Analysis. Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-4929-3_20.

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Aydın Yenioğlu, Zühre, and Vildan Ateş. "A Renewable Energy Assessment Method by Parametric and Non-Parametric Models' Data Analysis." In Advances in Environmental Engineering and Green Technologies. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-2472-8.ch002.

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Consumption of renewable energy sources for countries shows a rising trend. Providing progress in the renewable energy field, countries try on related regulations and accurate investments according to renewable energy consumption and generation. European Union (EU15) countries play an essential role increasing renewable energy efficiency, which is share of Europe in total energy usage. In this chapter, deterministic and stochastic methods were used to examine whether the renewable energy efficiencies of EU15 countries and Turkey are sensitive to different data envelopment analysis and stochastic frontier analysis models using renewable energy consumption and generation parameters. The chapter presents how the renewable energy efficiency results of related countries change with different optimization models in the context of deterministic and stochastic framework, and it proposes a new method to find a common solution for the different results of different optimization models.
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"Mobile Robot Localization with Recursive Bayesian Filters." In Simultaneous Localization and Mapping for Mobile Robots. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-2104-6.ch007.

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In this last chapter of the second section, the authors present probabilistic solutions to mobile robot localization that bring together the recursive filters introduced in chapter 4 and all the components and models already discussed in the preceding chapters. It presents the general, Bayesian framework for a probabilistic solution to localization and mapping. The problem is formally described as a graphical model (in particular a dynamic Bayesian network), and the characteristics that can be exploited to approach it efficiently are elaborated. Among parametric Bayesian estimators, the family of the Kalman filters is introduced with examples and practical applications. Then, the more modern non-parametric filters, mainly particle filters, are explained. Due to the diversity of filters available for localization, comparative tables are included.
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Bandyopadhyay, Arindam. "Statistical Tools for Model Validation and Back Testing." In Basic Statistics for Risk Management in Banks and Financial Institutions. Oxford University Press, 2022. http://dx.doi.org/10.1093/oso/9780192849014.003.0009.

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Model validation and calibration chapter demonstrate key statistical tests that are useful to measure predictive power of risk models. It mainly assesses the critical steps, data input quality, and discriminatory power of the models in predicting default or loss. Model validation has been a key task for risk-focused management for internal management of risk across various business lines. Reliable rating systems require efficient validation strategies. This chapter explains power curve-fitting techniques to assess discriminatory power of predictive models, method for checking model errors, and estimation of model accuracy in great detail. The separation power check through information value and KS test and their utility in scorecard development has been elaborated. Steps in Hosmer–Lemeshow goodness-of-fit test pertaining to logistic model and other non-parametric validation checks like Akaike information criteria, Bayesian information criterion, Kendal’s tau are described in this chapter. An independent and objective validation of the predictive power and efficacy of valuation and risk models through statistical tests is an integral part of a robust risk management system.
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Savić, Gordana, and Milan Martić. "Composite Indicators Construction by Data Envelopment Analysis." In Advances in Data Mining and Database Management. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-0714-7.ch005.

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Composite indicators (CIs) are seen as an aggregation of a set of sub-indicators for measuring multi-dimensional concepts that cannot be captured by a single indicator (OECD, 2008). The indicators of development in different areas are also constructed by aggregating several sub-indicators. Consequently, the construction of CIs includes weighting and aggregation of individual performance indicators. These steps in CI construction are challenging issues as the final results are significantly affected by the method used in aggregation. The main question is whether and how to weigh individual performance indicators. Verifiable information regarding the true weights is typically unavailable. In practice, subjective expert opinions are usually used to derive weights, which can lead to disagreements (Hatefi & Torabi, 2010). The disagreement can appear when the experts from different areas are included in a poll since they can value criteria differently in accordance with their expertise. Therefore, a proper methodology of the derivation of weights and construction of composite indicators should be employed. From the operations research standpoint, the data envelopment analysis (DEA) and the multiple criteria decision analysis (MCDA) are proper methods for the construction of composite indicators (Zhou & Ang, 2009; Zhou, Ang, & Zhou, 2010). All methods combine the sub-indicators according to their weights, except that the MCDA methods usually require a priori determination of weights, while the DEA determines the weights a posteriori, as a result of model solving. This chapter addresses the DEA as a non-parametric technique, introduced by Charnes, Cooper, and Rhodes (1978), for efficiency measurement of different non-profitable and profitable units. It is lately adopted as an appropriate method for the CI construction due to its several features (Shen, Ruan, Hermans, Brijs, Wets, & Vanhoof, 2011). Firstly, individual performance indicators are combined without a priori determination of weights, and secondly, each unit under observation is assessed taking into consideration the performance of all other units, which is known as the ‘benefit of the doubt' (BOD) approach (Cherchye, Moesen, Rogge, & van Puyenbroeck, 2007). The methodological and theoretical aspects and the flaws of the DEA application for the construction of CIs will be discussed in this chapter, starting with the issues related to the application procedure, followed by the issues of real data availability, introducing value judgments, qualitative data, and non-desirable performance indicators. The procedure of a DEA-based CI construction will be illustrated by the case of ranking of different regions of Serbia based on their socio-economic development.
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Vajjhala, Narasimha Rao, and Philip Eappen. "Data Envelopment Analysis in Healthcare Management." In Advances in Business Information Systems and Analytics. IGI Global, 2023. http://dx.doi.org/10.4018/979-8-3693-0255-2.ch011.

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This chapter explores the applications, contributions, limitations, and challenges of data envelopment analysis (DEA) in healthcare management. DEA, a non-parametric method used for evaluating the efficiency of decision-making units, has found extensive applications in healthcare sectors such as hospital management, nursing, and outpatient services. The review consolidates findings from a broad range of studies, highlighting DEA's significant contributions to efficiency measurement, benchmarking, resource allocation and optimization, and performance evaluation. However, despite DEA's robust applications, the chapter also identifies several limitations and challenges, including the selection of inputs and outputs, sensitivity to outliers, inability to handle statistical noise, lack of inherent uncertainty measures, homogeneity assumption, and the static nature of traditional DEA models. These challenges underscore the need for further research and methodological advancements in applying DEA in healthcare management.
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Aïıt-Sahalia, Yacine, and Jean Jacod. "High-Frequency Observations: Identifiability and Asymptotic Efficiency." In High-Frequency Financial Econometrics. Princeton University Press, 2014. http://dx.doi.org/10.23943/princeton/9780691161433.003.0005.

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This chapter starts with a brief reminder about a number of concepts and results which pertain to classical statistical models, without specific reference to stochastic processes. It then introduces a general notion of identifiability for a parameter, in a semi-parametric setting. A parameter can be a number (or a vector), as in classical statistics; it can also be a random variable, such as the integrated volatility. The analysis is first conducted for Lévy processes, because in this case parameters are naturally non-random, and then extended to the more general situation of semimartingales. It also considers the problem of testing a hypothesis which is “random,” such as testing whether a discretely observed path is continuous or discontinuous: the null and alternative are not the usual disjoint subsets of a parameter space, but rather two disjoint subsets of the sample space, which leads to an ad hoc definition of the level, or asymptotic level, of a test in such a context. Finally, the chapter returns to the question of efficient estimation of a parameter, which is mainly analyzed from the viewpoint of “Fisher efficiency.”
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Conference papers on the topic "Non-parametric efficiency model"

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Young, Peter. "Non-Parametric Model Structure Identification and Parametric Efficiency in Nonlinear State Dependent Parameter Models." In 2006 International Symposium on Evolving Fuzzy Systems. IEEE, 2006. http://dx.doi.org/10.1109/isefs.2006.251137.

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Fun-sang, Maricruz A., and Jean-David Caprace. "Improving Ship Fleet Performance Using a Non-Parametric Model." In SNAME 5th World Maritime Technology Conference. SNAME, 2015. http://dx.doi.org/10.5957/wmtc-2015-182.

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The world merchant fleet has increased in the last decade producing an increase of fuel consumption and greenhouse gas emissions (GHGs). Thus, the concerns of ship-owners to implement alternatives to improve the fleet efficiency are growing. However, shipowners are facing barriers to implement energy efficiency technologies mainly due to reliability, financial and economic constraints as well as complexity of change. Actually several shipowners are using onboard data measurements systems that collect navigation and propulsion information of their ships. Therefore, after being sent via satellit
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Xiao, Xinyi, and Byeong-Min Roh. "Automatic Parametric Modeling From Non-Feature Based Designs for Additive Manufacturing." In ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/detc2021-71900.

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Abstract The integration of Topology optimization (TO) and Generative Design (GD) with additive manufacturing (AM) is becoming advent methods to lightweight parts while maintaining performance under the same loading conditions. However, these models from TO or GD are not in a form that they can be easily edited in a 3D CAD modeling system. These geometries are generally in a form with no surface/plane information, thus having non-editable features. Direct fabricate these non-feature-based designs and their inherent characteristics would lead to non-desired part qualities in terms of shape, GD&
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JETMAR, Marek. "Application of the Non-parametric DEA method to Analyze the Efficiency of selected services provided by municipalities, example of public libraries." In Current Trends in Public Sector Research. Masaryk University Press, 2020. http://dx.doi.org/10.5817/cz.muni.p210-9646-2020-7.

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The paper deals with the possibility of applying the DEA method to measure the efficiency of local public services provided by municipalities and towns in the Czech Republic. It is testing and modeling data on the effectiveness of local libraries, which for 100 years had to provide basic education and disseminate education in municipalities. There are many models in the literature dealing with various problems of efficiency analysis. A particularly suitable and elegant model is the DEA model based on Chebyshev distance. This model can be formulated with both the assumption of constant range re
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Milli, Andrea, and Shahrokh Shahpar. "Full-Parametric Design System to Improve the Stage Efficiency of a High-Fidelity HP Turbine Configuration." In ASME Turbo Expo 2008: Power for Land, Sea, and Air. ASMEDC, 2008. http://dx.doi.org/10.1115/gt2008-51348.

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This paper presents the application of an in-house automatic design system to the aerodynamic optimisation of one HP turbine stage. The main objectives of this study are: point out the importance of parametric geometry modelling and meshing for automatic design optimisation; move a step forward towards the exploitation of novel numerical tools to improve modern turbine performance with high-fidelity geometry configurations. In the present work, the system has been applied to the non-axisymmetric hub endwall optimisation of a research Rolls-Royce design HPT stage. The following main issues have
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Brennan, G., N. W. Harvey, M. G. Rose, N. Fomison, and M. D. Taylor. "Improving the Efficiency of the Trent 500 HP Turbine Using Non-Axisymmetric End Walls: Part 1 — Turbine Design." In ASME Turbo Expo 2001: Power for Land, Sea, and Air. American Society of Mechanical Engineers, 2001. http://dx.doi.org/10.1115/2001-gt-0444.

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This paper describes the redesign of the HP turbine of the Rolls-Royce Trent 500 engine, making use of non-axisymmetric end walls. The original, datum turbine used conventional axisymmetric end walls, while the vane and (shrouded) rotor aerofoil profiles were nominally the same for the two designs. Previous research on the large scale, low speed linear cascade at Durham University, see Hartland et al [1], had already demonstrated significant potential for reducing turbine secondary losses using non-axisymmetric end walls - by about one third. This paper shows how a methodology was derived from
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Torres Cedillo, Sergio G., Ghaith Ghanim Al-Ghazal, Philip Bonello, Jacinto Cortés Pérez, and Alberto Reyes Solís. "Computational Study of the Non-Parametric Squeeze Film Damper Bearing Inverse Model Based on Artificial Neural Networks Applied to a Rotor-Casing System Running on Unsupported SFDs." In ASME Turbo Expo 2019: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/gt2019-90390.

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Abstract Squeeze Film Damper (SFD) bearings play a vital role in attenuating large amplitudes of vibration due to their relatively simple assembly in aero engine designs. The modern aero-engine structures, typically, have at least two nested rotors mounted within a flexible casing via squeeze-film damper (SFD) bearings. There is a growing body of research into identification techniques for bearing models for use in rotor-bearing analysis to improve reliability and/or efficiency of implementation. The authors’ previous work has shown that, for cases where there is no adequate linear connection
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Das, Ariyam, Jin Wang, Sahil M. Gandhi, Jae Lee, Wei Wang, and Carlo Zaniolo. "Learn Smart with Less: Building Better Online Decision Trees with Fewer Training Examples." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/306.

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Online decision tree models are extensively used in many industrial machine learning applications for real-time classification tasks. These models are highly accurate, scalable and easy to use in practice. The Very Fast Decision Tree (VFDT) is the classic online decision tree induction model that has been widely adopted due to its theoretical guarantees as well as competitive performance. However, VFDT and its variants solely rely on conservative statistical measures like Hoeffding bound to incrementally grow the tree. This makes these models extremely circumspect and limits their ability to l
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Fang, Xingjie, Liping Wang, Don Beeson, and Gene Wiggs. "A Practical Robust and Efficient RBF Metamodel Method for Typical Engineering Problems." In ASME 2008 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/detc2008-49994.

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Radial Basis Function (RBF) metamodels have recently attracted increased interest due to their significant advantages over other types of non-parametric metamodels. However, because of the interpolation nature of the RBF mathematics, the accuracy of the model may dramatically deteriorate if the training data set used contains duplicate information, noise or outliers. Also constructing the metamodel may be time consuming whenever the training data sets are large or a high dimensional model is required. In this paper, we propose a robust and efficient RBF metamodeling approach based on data pre-
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Chen, Yong, and Wei Dong. "Parametric Studies of Nonlinear Damping Behavior of APS Thermal Barrier Coatings Based on Cohesive Interface Model." In ASME Turbo Expo 2012: Turbine Technical Conference and Exposition. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/gt2012-69343.

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Thermal barrier coatings (TBCs) could reduce the temperature of the turbine blades and allow them working at higher temperatures, which leads to higher durability and reliability of turbine blades, and improves engine performance and fuel efficiency. Recent researches shown that thermal barrier coatings have very good damping properties, which means it could also improve the high cycle fatigue (HCF) life of the turbine blades. Previous studies found that damping of air plasma spray (APS) thermal barrier coatings exhibit non-linearities (amplitude-dependent) due to its microstructures, which co
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Reports on the topic "Non-parametric efficiency model"

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Herrera Dappe, Matías, Tomás Serebrisky, and Ancor Suárez-Alemán. On the Historical Relationship between Port (In)Efficiency and Transport Costs in the Developing World. Inter-American Development Bank, 2021. http://dx.doi.org/10.18235/0003326.

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Do differences in port performance explain differences in maritime transport costs? How much would improvements in port performance reduce maritime transport costs in developing countries? To answer this question, we use a widely used transport cost model, but we provide a new measure of port efficiency, estimated through a non-parametric approach. Relying on data from the early 2000s, this paper shows that for a sample of 115 container ports in 39 developing countries, becoming as efficient as the country with the most efficient port sector would reduce average maritime transport costs by 5 p
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Zanoni, Wladimir, and Ailin He. Citizenship and the Economic Assimilation of Canadian Immigrants. Inter-American Development Bank, 2021. http://dx.doi.org/10.18235/0003117.

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In this paper, we examine whether acquiring citizenship improves the economic assimilation of Canadian migrants. We took advantage of a natural experiment made possible through changes in the Canadian Citizenship Act of 2014, which extended the physical presence requirement for citizenship from three to four years. Using quasi-experimental methods, we found that delaying citizenship eligibility by one year adversely affected Canadian residents' wages. Access to better jobs explains a citizenship premium of 11 percent in higher wages among naturalized migrants. Our estimates are robust to model
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Petrova, Katerina. On the Validity of Classical and Bayesian DSGE-Based Inference. Federal Reserve Bank of New York, 2024. http://dx.doi.org/10.59576/sr.1084.

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This paper studies large sample classical and Bayesian inference in a prototypical linear DSGE model and demonstrates that inference on the structural parameters based on a Gaussian likelihood is unaffected by departures from Gaussianity of the structural shocks. This surprising result is due to a cancellation in the asymptotic variance resulting into a generalized information equality for the block corresponding to the structural parameters. The underlying reason for the cancellation is the certainty equivalence property of the linear rational expectation model. The main implication of this r
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