Cordeiro / Cribari-Neto An Introduction to Bartlett Correction and Bias Reduction

1. Auflage 2014
ISBN: 978-3-642-55255-7
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 107 Seiten, eBook

Reihe: SpringerBriefs in Statistics

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.

Zielgruppe

Research

Autoren/Hrsg.

Cordeiro, Gauss M.

Cribari-Neto, Francisco

Inhaltsverzeichnis

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.

Über Autor(innen)

Gauss M. Cordeiro is a Professor of Statistics at Universidade Federal de Pernambuco in Brazil. He is a former chief editor of the Brazilian Journal of Probability and Statistics and a former president of the Brazilian Statistical Association.

Francisco Cribari-Neto is a Professor of Statistics at Universidade Federal de Pernambuco in Brazil. He is a former applications editor of the Brazilian Journal of Probability and Statistics and a former president of the Brazilian Econometric Society.