Relevant bibliographies by topics / Interval regression model / Dissertations / Theses
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Dissertations / Theses on the topic 'Interval regression model'

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Published: 4 June 2021
Last updated: 10 February 2022

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1

Chen, Cuixian. "Asymptotic properties of the Buckley-James estimator for a bivariate interval censorship regression model." Diss., Online access via UMI:, 2007.

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2

Tao, Jinxin. "Comparison Between Confidence Intervals of Multiple Linear Regression Model with or without Constraints." Digital WPI, 2017. https://digitalcommons.wpi.edu/etd-theses/404.

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Regression analysis is one of the most applied statistical techniques. The sta- tistical inference of a linear regression model with a monotone constraint had been discussed in early analysis. A natural question arises when it comes to the difference between the cases of with and without the constraint. Although the comparison be- tween confidence intervals of linear regression models with and without restriction for one predictor variable had been considered, this discussion for multiple regres- sion is required. In this thesis, I discuss the comparison of the confidence intervals between a
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3

Lin, Hui-Ling. "Jackknife Empirical Likelihood for the Variance in the Linear Regression Model." Digital Archive @ GSU, 2013. http://digitalarchive.gsu.edu/math_theses/129.

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The variance is the measure of spread from the center. Therefore, how to accurately estimate variance has always been an important topic in recent years. In this paper, we consider a linear regression model which is the most popular model in practice. We use jackknife empirical likelihood method to obtain the interval estimate of variance in the regression model. The proposed jackknife empirical likelihood ratio converges to the standard chi-squared distribution. The simulation study is carried out to compare the jackknife empirical likelihood method and standard method in terms of coverage pr
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4

Lu, Yinghua. "Empirical Likelihood Inference for the Accelerated Failure Time Model via Kendall Estimating Equation." Digital Archive @ GSU, 2010. http://digitalarchive.gsu.edu/math_theses/76.

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In this thesis, we study two methods for inference of parameters in the accelerated failure time model with right censoring data. One is the Wald-type method, which involves parameter estimation. The other one is empirical likelihood method, which is based on the asymptotic distribution of likelihood ratio. We employ a monotone censored data version of Kendall estimating equation, and construct confidence intervals from both methods. In the simulation studies, we compare the empirical likelihood (EL) and the Wald-type procedure in terms of coverage accuracy and average length of confidence int
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5

Huschens, Stefan. "Einführung in die Ökonometrie." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2017. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-222629.

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Die Kapitel 1 bis 6 im ersten Teil dieses Skriptes beruhen auf einer Vorlesung Ökonometrie I, die zuletzt im WS 2001/02 gehalten wurde, die Kapitel 7 bis 16 beruhen auf einer Vorlesung Ökonometrie II, die zuletzt im SS 2006 gehalten wurde. Das achte Kapitel enthält eine komprimierte Zusammenfassung der Ergebnisse aus dem Teil Ökonometrie I.
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6

Langohr, Klaus. "Regression models with an interval-censored covariate." Doctoral thesis, Universitat Politècnica de Catalunya, 2004. http://hdl.handle.net/10803/6508.

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El análisis de supervivencia trata de la evaluación estadística de variables que miden el tiempo transcurrido hasta un evento de interés. Una particularidad que ha de considerar el análisis de supervivencia son datos censurados. Éstos aparecen cuando el tiempo de interés no puede ser observado exactamente y la información al respecto es parcial. Se distinguen diferentes tipos de censura: un tiempo censurado por la derecha está presente si el tiempo de supervivencia es sabido mayor a un tiempo observado; censura por izquierda está dada si la supervivencia es menor que un tiempo observado. En el
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7

Huang, Jian. "Estimation in regression models with interval censoring /." Thesis, Connect to this title online; UW restricted, 1994. http://hdl.handle.net/1773/8950.

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8

Rada, Miroslav. "Algoritmy pro vybrané geometrické problémy nad zonotopy a jejich aplikace v optimalizaci a v analýze dat." Doctoral thesis, Vysoká škola ekonomická v Praze, 2009. http://www.nusl.cz/ntk/nusl-199386.

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The thesis unifies the most important author's results in the field of algorithms concerning zonotopes and their applications in optimization and statistics. The computational-geometric results consist of a new compact output-sensitive algorithm for enumerating vertices of a zonotope, which outperforms the rival algorithm with the same complexity-theoretic properties both theoretically and empirically, and a polynomial algorithm for arbitrarily precise approximation of a zonotope with the Löwner-John ellipsoid. In the application area, the thesis presents a result, which connects linear regres
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9

Zhang, Zhigang. "Nonproportional hazards regression models for survival analysis /." free to MU campus, to others for purchase, 2004. http://wwwlib.umi.com/cr/mo/fullcit?p3144473.

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10

Topp, Rebekka. "Regression and residual analysis in linear models with interval censored data." Doctoral thesis, Universitat Politècnica de Catalunya, 2002. http://hdl.handle.net/10803/6511.

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This work consists of two parts, both related with regression analysis for interval censored data. Interval censored data x have the property that their value cannot be observed exactly but only the respective interval [xL,xR] which contains the true value x with probability one.<br/><br/>In the first part of this work I develop an estimation theory for the regression parameters of the linear model where both dependent and independent variables are interval censored. In doing so I use a semi-parametric maximum likelihood approach which determines the parameter estimates via maximization of the
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Karlsson, Maria. "Estimators of semiparametric truncated and censored regression models." Doctoral thesis, Umeå : Department of Statistics, UmeåUniversity, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-540.

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12

Zhang, Dongquan. "Effects of model selection on the coverage probability of confidence intervals in binary-response logistic regression." College Park, Md.: University of Maryland, 2008. http://hdl.handle.net/1903/8538.

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Thesis (Ph. D.) -- University of Maryland, College Park, 2008.<br>Thesis research directed by: Dept. of Measurement, Statistics and Evaluation. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
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13

Paula, Laura Vicuña Torres de. "Modelo de Regressão Elíptico Bivariado Intervalar." Universidade Federal de Pernambuco, 2015. https://repositorio.ufpe.br/handle/123456789/15414.

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Submitted by Irene Nascimento (irene.kessia@ufpe.br) on 2016-02-25T15:12:18Z No. of bitstreams: 2 license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5) Laura_Torres.pdf: 863817 bytes, checksum: 8fa460a07a7a29d10e0b7a64d4674663 (MD5)<br>Made available in DSpace on 2016-02-25T15:12:18Z (GMT). No. of bitstreams: 2 license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5) Laura_Torres.pdf: 863817 bytes, checksum: 8fa460a07a7a29d10e0b7a64d4674663 (MD5) Previous issue date: 2015-08-21<br>Facepe<br>A análisededadossimbólicos(ADS)éumaabordagemestatísticabastanteut
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Qader, Aso, and William Shiver. "Developing an Advanced Internal Ratings-Based Model by Applying Machine Learning." Thesis, KTH, Matematisk statistik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-273418.

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Since the regulatory framework Basel II was implemented in 2007, banks have been allowed to develop internal risk models for quantifying the capital requirement. By using data on retail non-performing loans from Hoist Finance, the thesis assesses the Advanced Internal Ratings-Based approach. In particular, it focuses on how banks active in the non-performing loan industry, can risk-classify their loans despite limited data availability of the debtors. Moreover, the thesis analyses the effect of the maximum-recovery period on the capital requirement. In short, a comparison of five different mat
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15

Riggs, Kent Edward Young Dean M. "Maximum-likelihood-based confidence regions and hypothesis tests for selected statistical models." Waco, Tex. : Baylor University, 2006. http://hdl.handle.net/2104/4879.

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16

Ulgen, Burcin Emre. "Estimation In The Simple Linear Regression Model With One-fold Nested Error." Master's thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/3/12606171/index.pdf.

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In this thesis, estimation in simple linear regression model with one-fold nested error is studied. To estimate the fixed effect parameters, generalized least squares and maximum likelihood estimation procedures are reviewed. Moreover, Minimum Norm Quadratic Estimator (MINQE), Almost Unbiased Estimator (AUE) and Restricted Maximum Likelihood Estimator (REML) of variance of primary units are derived. Also, confidence intervals for the fixed effect parameters and the variance components are studied. Finally, the aforesaid estimation techniques and confidence intervals are applied to a real-life
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Flake, Darl D. II. "Separation of Points and Interval Estimation in Mixed Dose-Response Curves with Selective Component Labeling." DigitalCommons@USU, 2016. https://digitalcommons.usu.edu/etd/4697.

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This dissertation develops, applies, and investigates new methods to improve the analysis of logistic regression mixture models. An interesting dose-response experiment was previously carried out on a mixed population, in which the class membership of only a subset of subjects (survivors) were subsequently labeled. In early analyses of the dataset, challenges with separation of points and asymmetric confidence intervals were encountered. This dissertation extends the previous analyses by characterizing the model in terms of a mixture of penalized (Firth) logistic regressions and developing met
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18

Barrett, James Edward. "Gaussian process regression models for the analysis of survival data with competing risks, interval censoring and high dimensionality." Thesis, King's College London (University of London), 2015. http://kclpure.kcl.ac.uk/portal/en/theses/gaussian-process-regression-models-for-the-analysis-of-survival-data-with-competing-risks-interval-censoring-and-high-dimensionality(fe3440e1-9766-4fc3-9d23-fe4af89483b5).html.

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We develop novel statistical methods for analysing biomedical survival data based on Gaussian process (GP) regression. GP regression provides a powerful non-parametric probabilistic method of relating inputs to outputs. We apply this to survival data which consist of time-to-event and covariate measurements. In the context of GP regression the covariates are regarded as `inputs' and the event times are the `outputs'. This allows for highly exible inference of non-linear relationships between covariates and event times. Many existing methods for analysing survival data, such as the ubiquitous C
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19

DOMINGUES, Marco Antonio de Oliveira. "Métodos robustos em regressão linear para dados simbólicos do tipo intervalo." Universidade Federal de Pernambuco, 2010. https://repositorio.ufpe.br/handle/123456789/1700.

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Made available in DSpace on 2014-06-12T15:51:56Z (GMT). No. of bitstreams: 2 arquivo2961_1.pdf: 1358041 bytes, checksum: 6856c7acfe3c44063d89520f13a9da5f (MD5) license.txt: 1748 bytes, checksum: 8a4605be74aa9ea9d79846c1fba20a33 (MD5) Previous issue date: 2010<br>Fundação de Amparo à Pesquisa do Estado do Amazonas<br>A análise de dados simbólicos (Symbolic Data Analysis - SDA) tem se destacado como um conjunto de ferramentas úteis à análise de grandes bases de dados, aprendizagem de máquina e reconhecimento de padrões. Os dados simbólicos podem representar variáveis estruturadas, listas
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20

Brady, Kaitlyn. "Learning Curves in Emergency Ultrasonography." Digital WPI, 2012. https://digitalcommons.wpi.edu/etd-theses/1150.

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"This project utilized generalized estimating equations and general linear modeling to model learning curves for sonographer performance in emergency ultrasonography. Performance was measured in two ways: image quality (interpretable vs. possible hindrance in interpretation) and agreement of findings between the sonographer and an expert reviewing sonographer. Records from 109 sonographers were split into two data sets-- training (n=50) and testing (n=59)--to conduct exploratory analysis and fit the final models for analysis, respectively. We determined that the number of scans of a particular
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21

Sayyareh, Abdolreza. "Test of fit and model selection based on likelihood function." Phd thesis, AgroParisTech, 2007. http://pastel.archives-ouvertes.fr/pastel-00003400.

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Notre travail port sur l'inf´erence au sujet de l'AIC (un cas de vraisemblance p`enalis´ee) d'Akaike (1973), o`u comme estimateur de divergence de Kullback-Leibler est intimement reli´ee `a l'estimateur de maximum de vraisemblance. Comme une partie de la statistique inf´erentielle, dans le contexte de test d'hypoth`ese, la divergence de Kullback-Leibler et le lemme de Neyman-Pearson sont deux concepts fondamentaux. Tous les deux sont au sujet du rapports de 11 vraisemblance. Neyman-Pearson est au sujet du taux d'erreur du test du rapport de vraisemblance et la divergence de Kullback-Leibler es
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22

Silva, Paulo Henrique Ferreira da. "Multivariate Copula-based SUR Tobit Models : a modified inference function for margins and interval estimation." Universidade Federal de São Carlos, 2015. https://repositorio.ufscar.br/handle/ufscar/7226.

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Submitted by Daniele Amaral (daniee_ni@hotmail.com) on 2016-09-14T18:49:08Z No. of bitstreams: 1 TesePHFS.pdf: 1284969 bytes, checksum: 4ebcbf7e8a84023d87dab3c54c19f103 (MD5)<br>Approved for entry into archive by Marina Freitas (marinapf@ufscar.br) on 2016-09-16T19:48:17Z (GMT) No. of bitstreams: 1 TesePHFS.pdf: 1284969 bytes, checksum: 4ebcbf7e8a84023d87dab3c54c19f103 (MD5)<br>Approved for entry into archive by Marina Freitas (marinapf@ufscar.br) on 2016-09-16T19:48:23Z (GMT) No. of bitstreams: 1 TesePHFS.pdf: 1284969 bytes, checksum: 4ebcbf7e8a84023d87dab3c54c19f103 (MD5)<br>Made availab
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23

Ljung, Carolina, and Maria Svedberg. "Estimation of Loss Given Default Distributions for Non-Performing Loans Using Zero-and-One Inflated Beta Regression Type Models." Thesis, KTH, Matematisk statistik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-273593.

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This thesis investigates three different techniques for estimating loss given default of non-performing consumer loans. This is a contribution to a credit risk evaluation model compliant with the regulations stipulated by the Basel Accords, regulating the capital requirements of European financial institutions. First, multiple linear regression is applied, and thereafter, zero-and-one inflated beta regression is implemented in two versions, with and without Bayesian inference. The model performances confirm that modeling loss given default data is challenging, however, the result shows that th
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Erhardt, Erik Barry. "Bayesian Simultaneous Intervals for Small Areas: An Application to Mapping Mortality Rates in U.S. Health Service Areas." Link to electronic thesis, 2004. http://www.wpi.edu/Pubs/ETD/Available/etd-0105104-195633/.

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Thesis (M.S.) -- Worcester Polytechnic Institute.<br>Keywords: Poisson-Gamma Regression; MCMC; Bayesian; Small Area Estimation; Simultaneous Inference; Statistics Includes bibliographical references (p. 61-67).
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25

Andersson, Håkan A. "Svenska småföretags användning av reserveringar för resultatutjämning och intern finansiering." Doctoral thesis, Umeå University, Umeå School of Business, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-680.

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<p>Small firms often have inadequate access to the capital necessary for sucessful management. The Swedish Government introduced in the mid-1990s allowance rules that facilitate retention of profit for sole proprietorships and partnership firms. The tax credits arising from the allowances give certain benefits as a source of financing compared to traditional forms of credits. Among the more essential benefits are that the payment for some parts of the tax credit can be put on hold almost indefinitely, or alternatively never be paid. The firms are free to use these means, and the responsibility
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Martínez-García, Marina. "Statistical analysis of neural correlates in decision-making." Doctoral thesis, Universitat Pompeu Fabra, 2014. http://hdl.handle.net/10803/283111.

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We investigated the neuronal processes which occur during a decision- making task based on a perceptual classi cation judgment. For this purpose we have analysed three di erent experimental paradigms (somatosensory, visual, and auditory) in two di erent species (monkey and rat), with the common goal of shedding light into the information carried by neurons. In particular, we focused on how the information content is preserved in the underlying neuronal activity over time. Furthermore we considered how the decision, the stimuli, and the con dence are encoded in memory and, when the exp
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27

Gerchinovitz, Sébastien. "Prédiction de suites individuelles et cadre statistique classique : étude de quelques liens autour de la régression parcimonieuse et des techniques d'agrégation." Phd thesis, Université Paris Sud - Paris XI, 2011. http://tel.archives-ouvertes.fr/tel-00653550.

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Cette thèse s'inscrit dans le domaine de l'apprentissage statistique. Le cadre principal est celui de la prévision de suites déterministes arbitraires (ou suites individuelles), qui recouvre des problèmes d'apprentissage séquentiel où l'on ne peut ou ne veut pas faire d'hypothèses de stochasticité sur la suite des données à prévoir. Cela conduit à des méthodes très robustes. Dans ces travaux, on étudie quelques liens étroits entre la théorie de la prévision de suites individuelles et le cadre statistique classique, notamment le modèle de régression avec design aléatoire ou fixe, où les données
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28

Lin, Yi-Siou, and 林以修. "Fuzzy clusterwise regression model for interval-valued data." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/94384645660184547590.

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碩士<br>國立宜蘭大學<br>電機工程學系碩士班<br>101<br>This paper presents a fuzzy clusterwise regression model algorithm for the uncertain nature of interval data. Comparing with the past clusterwise regression model algorithm, the fuzzy clusterwise model’s predict part adopts the input variables membership fuzzy operator for the input vector, furthermore the membership model parameters part is calculated by the least squares method. The study presents manual data and exchange rate data to verify the results show that the fuzzy clusterwise regression model algorithm has better effect.
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Lin, Chien-Hung, and 林建宏. "A Semiparametric Regression Model of Multivariate Interval-censored Data." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/58481452570501679313.

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碩士<br>淡江大學<br>統計學系碩士班<br>98<br>A voluminous literature on right-censored failure time data has been developed very well in the pust 30 years. Due to advances in biomedical research, interval censoring has become common in medical follow-up studies. For example, each study subject is observed periodically, thus the observed failure time falls into a time period. Another problems is multivariate interval-censored failure time data. Multivariate failure time data occur when one is interested in several related failure times. This thesis considers regression analysis of multivariate interval-censo
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FANG, YU-TING, and 方渝婷. "Model Fitting and Diagnostics on Linear Regression for Symbolic Interval Data." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/g3762g.

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碩士<br>國立中正大學<br>數學系統計科學研究所<br>105<br>Recently, due to technological progress rapidly the collected data are growing more and more complex and become larger than before. This brings the difficulty to analyze such big data by using the standard statistical tools. Hence, we need to first sort out the data set which is presented as a form of lists, intervals, histograms, and so on. These types of data are called symbolic data introduced by Diday (1987). Among the statistical analysis tools, linear regression is one of the most useful tool. In this thesis, we focus on two aspects of linear regressi
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Li, Hui-Wen, and 李惠雯. "An interval-valued stock index forecasting model based on information of interval and support vector regression." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/22huka.

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碩士<br>健行科技大學<br>工業管理系碩士班<br>106<br>Stock index forecasting is regarded as a challenging task of the prediction problem since the stock market is a complex, evolutionary, and nonlinear dynamic system. Interval-valued time series forecasting indicates possible future outcomes for upper and lower bounds of interval-valued data and generates a prediction interval. It has the advantage of taking into account the variability and uncertainty to reduce the amount of random variation relative to that found in classic point forecasting/ single-valued forecasting model. In this study, three interval-valu
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Tsai, Wen-Lung, and 蔡文龍. "Construction of interval-valued forecasting model based on support vector regression and information content of interval." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/73780125962636197605.

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碩士<br>健行科技大學<br>工業管理系碩士班<br>104<br>Forecasting has long been crucial for every company since accurate forecasting results can improve business decision performance. Interval-valued time series forecasting indicates possible future outcomes for upper and lower bounds of interval-valued data and generates a prediction interval. It has the advantage of taking into account the variability and uncertainty so as to reduce the amount of random variation relative to that found in classic point forecasting/ single-valued forecasting model. In this study, a new interval-valued forecasting model based on
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Tsai, Sung-Lin, and 蔡松霖. "A Preliminary Study on Patent Pricing Model Constructed by Nonlinear Interval Regression." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/95152232402230500817.

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碩士<br>中原大學<br>企業管理研究所<br>96<br>Abstract Patent right can make a lot of profit for its owner. The source of profit is from patent licensing and damage ward of infringement litigations for compensate. The purpose of the study is to examine the relationship among the corporations owned the value of patent and the reparation patent of litigation adjudge. Moreover, the study uses statistics to predict patent litigation adjudge reparation’s outcome, and provided discussion, practical suggestions and implications based on the results. This study applies neural network internal regression method. This
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Lai, Mei-Yu, and 賴美佑. "Interval Estimation for the Bilateral Conformance Proportion under the Linear Regression Model." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/82101971601411268778.

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碩士<br>國立臺灣大學<br>農藝學研究所<br>100<br>Conformance proportion is commonly used in agriculture management and product evaluation, industrial product quality control or process improvement, environmental monitoring or assessment, pharmaceutical effectiveness evaluation, etc. The bilateral conformance proportion is defined as the probability of a quality characteristic that falls within a specification interval, which can be denoted by , where Y is the quality characteristic of interest and [A,B] is the specification interval. In this study, we focused on constructing confidence limits for the bilat
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Cheng, Hui Chu, and 鄭慧珠. "Domestic Tourist Consumption Expenditure in Taiwan－An Application of Interval Regression Model." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/51643709178887175837.

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Tsai, Chun-Yi, and 蔡鈞亦. "Model Fitting and Influence Analysis on Linear Regression for Symbolic Interval Data." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/hs74gc.

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碩士<br>國立中正大學<br>數學系統計科學研究所<br>103<br>Abstract Nowadays, with the computers-enhancing rapidly, data sets also become larger than before. This brings the difficulty to analyze such big data via standard statistical tools, hence we need to sort out the data set to make it more manageable for data analysis. Here we aggregate the classical data to be presented by the interval forms which are called symbolic interval data. In this thesis, we focus on studying two aspects of linear regression for symbolic interval data. First, we propose a new approach to fit the linear regression model for symbo
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Lin, Kuen-Hung, and 林坤宏. "A flexible model approach for regression analysis of multivariate interval-censored data." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/47548589110256485324.

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碩士<br>淡江大學<br>統計學系碩士班<br>98<br>For regression analysis of multivariate interval-censored data, several authors proposed some marginal model approaches, which modeled each time of interest individually. For the problem, those models does not allow for inference about the relationship or association between correlated failure times. The frailty model approach has been commonly used in the analysis of multivariate failure time data and it provides a flexible approach for directly modeling the relationship between correlated failure times. In the thesis, we present a full likelihood approach base
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Shieh, Meng-Shiou. "Correction methods, approximate biases, and inference for misclassified data." 2009. https://scholarworks.umass.edu/dissertations/AAI3359160.

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When categorical data are misplaced into the wrong category, we say the data is affected by misclassification. This is common for data collection. It is well-known that naive estimators of category probabilities and coefficients for regression that ignore misclassification can be biased. In this dissertation, we develop methods to provide improved estimators and confidence intervals for a proportion when only a misclassified proxy is observed, and provide improved estimators and confidence intervals for regression coefficients when only misclassified covariates are observed. Following the intr
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Kim, Jong Suk. "Development of linear capacitance-resistance models for characterizing waterflooded reservoirs." Thesis, 2011. http://hdl.handle.net/2152/ETD-UT-2011-12-4644.

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The capacitance-resistance model (CRM) has been continuously improved and tested on both synthetic and real fields. For a large waterflood, with hundreds of injectors and producers present in a reservoir, tens of thousands of model parameters (gains, time constants, and productivity indices) in a field must be determined to completely define the CRM. In this case obtaining a unique solution in history-matching large reservoirs by nonlinear regression is difficult. Moreover, this approach is more likely to produce parameters that are statistically insignificant. The nonlinear nature of the CRM
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40

"Regression models with an interval-censored covariate." Universitat Politècnica de Catalunya, 2004. http://www.tesisenxarxa.net/TDX-0727104-092623/.

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Lin, Wei Yang, and 林威揚. "Interval Fuzzy C-Regression Models WithCompetitive Agglomeration." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/64527220704022984697.

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碩士<br>國立宜蘭大學<br>電機工程學系碩士班<br>101<br>In this integrated project, the intelligence computation methods on the symbolic data analyzed are proposed. In what follows are the objectives of this subproject. The fuzzy c-interval regression models (FCIRM) clustering algorithm are proposed. The proposed approach that can identify both the partition of the interval data and its interval regression models for each cluster is different from the interval fuzzy c-mean (IFCM) clustering algorithm that can only identify the partition of interval data for each cluster. Due to the competitive agglomeration metho
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Hu, Wen-Chih, and 胡文之. "Model Averaging Prediction Intervals for Auto regressive Model." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/45036777827093123780.

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碩士<br>銘傳大學<br>財務金融學系碩士在職專班<br>100<br>The risks and rewards of the two major issues are often the primary attention points in the investment market, the investors hope to predict future values in order to make better investment decisions, this paper is by constructing a prediction interval can be more appropriate predictive capability for the future value we want to observations. In the past, use of the bootstrap method to construct the prediction model are assuming that the specific order model, but the choice of the specific order without going through an appropriate model of the process may
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Tzu-JungChen and 陳姿蓉. "Using Goal Programming to Establish Interval-valued Fuzzy Regression Models." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/61553681569026774027.

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"Regression and residual analysis in linear models with interval censored data." Universitat Politècnica de Catalunya, 2002. http://www.tesisenxarxa.net/TDX-1214104-091944/.

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Lin, Chih-Chi, and 林芝騏. "A Study on Fuzzy Weights Regression Models for Interval-valued Data." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/50164801037850664804.

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碩士<br>國立宜蘭大學<br>電機工程學系碩士班<br>103<br>This research plan presents a fuzzy weights regression model algorithm for the interval data which contain the uncertain nature and huge amount. Comparing with the past regression model algorithm, the fuzzy weights model’s predict part adopts fuzzy c-means method for interval data to cluster classification the input and output data of system, and use the input variables membership fuzzy operator for the input vector. Finally, combine fuzzy weights mechanism with triangular membership functions and regression model to produce outputs. The study uses artificia
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"Methods of constructing confidence regions for parameters in the power transformation models." Chinese University of Hong Kong, 1994. http://library.cuhk.edu.hk/record=b5888175.

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by Wai-leung Li.<br>Thesis (M.Phil.)--Chinese University of Hong Kong, 1994.<br>Includes bibliographical references (leaves 74-77).<br>Chapter Chapter 1 --- Introduction --- p.1<br>Chapter § 1.1 --- Why transformation of variables in regression analysis is needed? --- p.1<br>Chapter § 1.2 --- Suggested functional transformation -- Box-Cox Transformation --- p.3<br>Chapter § 1.3 --- Methodology --- p.5<br>Chapter § 1.4 --- General theory of constructing asymptotic confidence intervals and confidence regions --- p.9<br>Chapter § 1.4.1 --- Method based on the log-likelihood ratio statistic -
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Topp, Rebekka [Verfasser]. "Regression and residual analysis in linear models with interval censored data / vorgelegt von Rebekka Topp." 2002. http://d-nb.info/964950952/34.

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Hossain, Zakia. "Modeling of Fluid Powered Actuators Using Auto Regressive with Exogenous Input Model." 2012. http://hdl.handle.net/1993/9151.

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System identification has importance in modeling and control of industrial systems. The main task of system identification is to build a suitable model that represents the relationship between input, output and disturbances of a real system. The thesis presents identification and discrete time linear modeling of a hydraulic actuator. This thesis demonstrates how to formulate hydraulic functions for both normal and faulty conditions with internal leakage using both offline and on-line measurements. Least square and recursive least square methods are used to estimate the model parameters based o
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Carty, Dillon Matthew. "An Analysis of Boosted Regression Trees to Predict the Strength Properties of Wood Composites." 2011. http://trace.tennessee.edu/utk_gradthes/954.

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The forest products industry is a significant contributor to the U.S. economy contributing six percent of the total U.S. manufacturing gross domestic product (GDP), placing it on par with the U.S. automotive and plastics industries. Sustaining business competitiveness by reducing costs and maintaining product quality will be essential in the long term for this industry. Improved production efficiency and business competitiveness is the primary rationale for this work. A challenge facing this industry is to develop better knowledge of the complex nature of process variables and their relatio
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Prinsloo, Carly Kim. "Determining employees' acceptance of electronic newsletters in an academic environment." Diss., 2016. http://hdl.handle.net/10500/20296.

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Internal marketing and internal communication are essential tools to align em-ployees’ mindsets with the necessary tasks which bring about employee satis-faction and organisational prosperity. Electronic newsletters serve as an internal marketing communication medium which can convey the necessary information to employees regarding the organisation’s goals and objectives. They also act as a medium to build relationships with employees and encourage improved service delivery and customer-oriented employee mindsets. Employees’ willingness to make use of electronic newsletters for the purpose of
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