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＜電子ブック＞
An Introduction to Bartlett Correction and Bias Reduction / by Gauss M. Cordeiro, Francisco Cribari-Neto
(SpringerBriefs in Statistics. ISSN:21915458)

版	1st ed. 2014.
出版者	(Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer)
出版年	2014
本文言語	英語
大きさ	XI, 107 p : online resource
著者標目	*Cordeiro, Gauss M author Cribari-Neto, Francisco author SpringerLink (Online service)
件　名	LCSH:Statistics  LCSH:Econometrics FREE:Statistical Theory and Methods FREE:Econometrics FREE:Statistics in Business, Management, Economics, Finance, Insurance
一般注記	Preface -- Likelihood-Based Inference and Finite-Sample Corrections: A Brief Overview -- Bartlett Corrections and Bootstrap Testing Inference -- Bartlett-Type Corrections -- Analytical and Bootstrap Bias Corrections -- Supplementary Material -- Glossary This book presents a concise introduction to Bartlett and Bartlett-type corrections of statistical tests and bias correction of point estimators. The underlying idea behind both groups of corrections is to obtain higher accuracy in small samples. While the main focus is on corrections that can be analytically derived, the authors also present alternative strategies for improving estimators and tests based on bootstrap, a data resampling technique, and discuss concrete applications to several important statistical models HTTP:URL=https://doi.org/10.1007/978-3-642-55255-7

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