Format:
Online-Ressource (XI, 107 p, online resource)
ISBN:
9783642552557
Series Statement:
SpringerBriefs in Statistics
Content:
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
Content:
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
Note:
Description based upon print version of record
,
PrefaceLikelihood-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.
Additional Edition:
ISBN 9783642552540
Additional Edition:
Druckausg. Cordeiro, Gauss M. An introduction to Bartlett correction and bias reduction Heidelberg [u.a.] : Springer, 2014 ISBN 3642552544
Additional Edition:
ISBN 9783642552540
Language:
English
Subjects:
Economics
,
Mathematics
Keywords:
Bartlett-Test
DOI:
10.1007/978-3-642-55255-7
URL:
Volltext
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