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Smoothed Empirical Likelihood For Quantiles And Some Variations Extension Of Empirical Likelihood For Buckley James Estimator
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Book Synopsis Smoothed Empirical Likelihood for Quantiles and Some Variations/extension of Empirical Likelihood for Buckley-James Estimator by : Hua Zhu
Download or read book Smoothed Empirical Likelihood for Quantiles and Some Variations/extension of Empirical Likelihood for Buckley-James Estimator written by Hua Zhu and published by . This book was released on 2007 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Empirical Likelihood Method in Survival Analysis by : Mai Zhou
Download or read book Empirical Likelihood Method in Survival Analysis written by Mai Zhou and published by CRC Press. This book was released on 2015-06-17 with total page 221 pages. Available in PDF, EPUB and Kindle. Book excerpt: Empirical Likelihood Method in Survival Analysis explains how to use the empirical likelihood method for right censored survival data. The author uses R for calculating empirical likelihood and includes many worked out examples with the associated R code. The datasets and code are available for download on his website and CRAN. The book focuses on all the standard survival analysis topics treated with empirical likelihood, including hazard functions, cumulative distribution functions, analysis of the Cox model, and computation of empirical likelihood for censored data. It also covers semi-parametric accelerated failure time models, the optimality of confidence regions derived from empirical likelihood or plug-in empirical likelihood ratio tests, and several empirical likelihood confidence band results. While survival analysis is a classic area of statistical study, the empirical likelihood methodology has only recently been developed. Until now, just one book was available on empirical likelihood and most statistical software did not include empirical likelihood procedures. Addressing this shortfall, this book provides the functions to calculate the empirical likelihood ratio in survival analysis as well as functions related to the empirical likelihood analysis of the Cox regression model and other hazard regression models.
Book Synopsis Empirical Likelihood by : Art B. Owen
Download or read book Empirical Likelihood written by Art B. Owen and published by CRC Press. This book was released on 2001-05-18 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: Empirical likelihood provides inferences whose validity does not depend on specifying a parametric model for the data. Because it uses a likelihood, the method has certain inherent advantages over resampling methods: it uses the data to determine the shape of the confidence regions, and it makes it easy to combined data from multiple sources. It al
Book Synopsis Smoothed Empirical Likelihood Methods for Quantile Regression Models by : Yoon-Jae Whang
Download or read book Smoothed Empirical Likelihood Methods for Quantile Regression Models written by Yoon-Jae Whang and published by . This book was released on 2004 with total page 14 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Dissertation Abstracts International by :
Download or read book Dissertation Abstracts International written by and published by . This book was released on 2008 with total page 868 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Empirical Likelihood in Econometrics by : Taisuke Otsu
Download or read book Empirical Likelihood in Econometrics written by Taisuke Otsu and published by . This book was released on 2004 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis The Extended Empirical Likelihood by : Fan Wu
Download or read book The Extended Empirical Likelihood written by Fan Wu and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The empirical likelihood method introduced by Owen (1988, 1990) is a powerful nonparametric method for statistical inference. It has been one of the most researched methods in statistics in the last twenty-five years and remains to be a very active area of research today. There is now a large body of literature on empirical likelihood method which covers its applications in many areas of statistics (Owen, 2001). One important problem affecting the empirical likelihood method is its poor accuracy, especially for small sample and/or high-dimension applications. The poor accuracy can be alleviated by using high-order empirical likelihood methods such as the Bartlett corrected empirical likelihood but it cannot be completely resolved by high-order asymptotic methods alone. Since the work of Tsao (2004), the impact of the convex hull constraint in the formulation of the empirical likelihood on the finite sample accuracy has been better understood, and methods have been developed to break this constraint in order to improve the accuracy.
Book Synopsis Empirical Likelihood Approaches for Stratified Samples with Nonresponse by : Fang Fang
Download or read book Empirical Likelihood Approaches for Stratified Samples with Nonresponse written by Fang Fang and published by . This book was released on 2007 with total page 130 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Empirical Likelihood Ratio Tests with Smoothing Estimators and a Weighted Approach for Two Sample Comparison Under Current Status Data by : 許玳瑜
Download or read book Empirical Likelihood Ratio Tests with Smoothing Estimators and a Weighted Approach for Two Sample Comparison Under Current Status Data written by 許玳瑜 and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Empirical Likelihood Approach for Estimation from Multiple Sources by : Ewa Joanna Kabzinska
Download or read book Empirical Likelihood Approach for Estimation from Multiple Sources written by Ewa Joanna Kabzinska and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Empirical Likelihood Approach for Estimation from Multiple Sources by : Ewa Joanna Kabzińska
Download or read book Empirical Likelihood Approach for Estimation from Multiple Sources written by Ewa Joanna Kabzińska and published by . This book was released on 2017 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Some Contributions to the Empirical Likelihood Method by : Min Chen
Download or read book Some Contributions to the Empirical Likelihood Method written by Min Chen and published by . This book was released on 2005 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Empirical Likelihood Methods in Econometrics by : Yuichi Kitamura
Download or read book Empirical Likelihood Methods in Econometrics written by Yuichi Kitamura and published by . This book was released on 2006 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent developments in empirical likelihood (EL) methods are reviewed. First, to put the method in perspective, two interpretations of empirical likelihood are presented, one as a nonparametric maximum likelihood estimation method (NPMLE) and the other as a generalized minimum contrast estimator (GMC). The latter interpretation provides a clear connection between EL, GMM, GEL and other related estimators. Second, EL is shown to have various advantages over other methods. The theory of large deviations demonstrates that EL emerges naturally in achieving asymptotic optimality both for estimation and testing. Interestingly, higher order asymptotic analysis also suggests that EL is generally a preferred method. Third, extensions of EL are discussed in various settings, including estimation of conditional moment restriction models, nonparametric specification testing and time series models. Finally, practical issues in applying EL to real data, such as computational algorithms for EL, are discussed. Numerical examples to illustrate the efficacy of the method are presented.
Book Synopsis Maximum Penalized Likelihood Estimation by : Paul P. Eggermont
Download or read book Maximum Penalized Likelihood Estimation written by Paul P. Eggermont and published by Springer Science & Business Media. This book was released on 2009-06-02 with total page 580 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unique blend of asymptotic theory and small sample practice through simulation experiments and data analysis. Novel reproducing kernel Hilbert space methods for the analysis of smoothing splines and local polynomials. Leading to uniform error bounds and honest confidence bands for the mean function using smoothing splines Exhaustive exposition of algorithms, including the Kalman filter, for the computation of smoothing splines of arbitrary order.
Book Synopsis Empirical Likelihood Method by : Sung-hsi Chʻen
Download or read book Empirical Likelihood Method written by Sung-hsi Chʻen and published by . This book was released on 1992 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Some Aspects of Empirical Likelihood by : Xing Wang
Download or read book Some Aspects of Empirical Likelihood written by Xing Wang and published by . This book was released on 2008 with total page 114 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Empirical Likelihood Estimators for the Error Distribution in Nonparametric Regression Models by : Sebastian Kiwitt
Download or read book Empirical Likelihood Estimators for the Error Distribution in Nonparametric Regression Models written by Sebastian Kiwitt and published by . This book was released on 2005 with total page 42 pages. Available in PDF, EPUB and Kindle. Book excerpt:
