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An Introduction to Bartlett Correction and Bias Reduction

  • Gauss M. Cordeiro
  • Francisco Cribari-Neto

Part of the SpringerBriefs in Statistics book series (BRIEFSSTATIST)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Gauss M. Cordeiro, Francisco Cribari-Neto
    Pages 1-11
  3. Gauss M. Cordeiro, Francisco Cribari-Neto
    Pages 13-43
  4. Gauss M. Cordeiro, Francisco Cribari-Neto
    Pages 45-68
  5. Gauss M. Cordeiro, Francisco Cribari-Neto
    Pages 69-99
  6. Back Matter
    Pages 101-107

About this book

Introduction

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.

Keywords

62F03, 62F10 Bartlett correction Bartlett-type correction bootstrap hypothesis testing maximum likelihood

Authors and affiliations

  • Gauss M. Cordeiro
    • 1
  • Francisco Cribari-Neto
    • 2
  1. 1.Departamento de EstatísticaUniversidade Federal de PernambucoRecifeBrazil
  2. 2.Departamento de EstatísticaUniversidade Federal de PernambucoRecifeBrazil

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-55255-7
  • Copyright Information The Author(s) 2014
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-3-642-55254-0
  • Online ISBN 978-3-642-55255-7
  • Series Print ISSN 2191-544X
  • Series Online ISSN 2191-5458
  • Buy this book on publisher's site
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