New Developments in Statistical Information Theory Based on Entropy and Divergence Measures

This book presents new and original research in Statistical Information Theory, based on minimum divergence estimators and test statistics, from a theoretical and applied point of view, for different statistical problems with special emphasis on efficiency and robustness. Divergence statistics, base...

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Tác giả chính:	Pardo, Leandro
Định dạng:	Online
Ngôn ngữ:	Tiếng Anh
Được phát hành:	MDPI - Multidisciplinary Digital Publishing Institute 2021
Những chủ đề:	HM401-1281 HA1-4737 H1-99 n/a mixture index of fit Kullback-Leibler distance relative error estimation minimum divergence inference Neyman Pearson test influence function consistency thematic quality assessment asymptotic normality Hellinger distance nonparametric test Berstein von Mises theorem maximum composite likelihood estimator 2-alternating capacities efficiency corrupted data statistical distance robustness log-linear models representation formula goodness-of-fit general linear model Wald-type test statistics Hölder divergence divergence logarithmic super divergence information geometry sparse robust estimation relative entropy minimum disparity methods MM algorithm local-polynomial regression association models total variation Bayesian nonparametric ordinal classification variables Wald test statistic Wald-type test composite hypotheses compressed data hypothesis testing Bayesian semi-parametric single index model indoor localization composite minimum density power divergence estimator quasi-likelihood Chernoff Stein lemma composite likelihood asymptotic property Bregman divergence robust testing misspecified hypothesis and alternative least-favorable hypotheses location-scale family correlation models minimum penalized ?-divergence estimator non-quadratic distance robust semiparametric model divergence based testing measurement errors bootstrap distribution estimator generalized renyi entropy minimum divergence methods generalized linear model ?-divergence Bregman information iterated limits centroid model assessment divergence measure model check two-sample test Wald statistic bic Book Industry Communication::J Society & social sciences::JF Society & culture: general::JFF Social issues & processes::JFFP Social interaction
Truy cập trực tuyến:	33643
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New Developments in Statistical Information Theory Based on Entropy and Divergence Measures

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