Please use this identifier to cite or link to this item: http://dl.pgu.ac.ir/handle/Hannan/9939
Title: An Introduction to Bartlett Correction and Bias Reduction
Authors: Cordeiro, G Auss M
Crib Ari-Neto, Fr Ancisco
Keywords: Statistics;Mathematical statistics;Economics;Statistics;Econometrics;Statistics;Statistical Theory and Methods;Econometrics;Statistics for Business/Economics/Mathematical Finance/Insurance;519.5 23;QA276-280
Issue Date: 2014
Publisher: Springer Berlin Heidelberg;Imprint Springer,
place: Berlin, Heidelberg
Series/Report no.: SpringerBriefs in Statistics,;2191-544X.;SpringerBriefs in Statistics,;2191-544X.
Abstract: 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.
Description: Printed edition:;9783642552540.
Table Of Contents: 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.
URI: http://dl.pgu.ac.ir/handle/Hannan/9939
ISBN: 9783642552557
9783642552540 (print)
Format: [electronic resource] /
Type Of Material: Book
Appears in Collections:Mathematics

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