Cordeiro G.M., Cribari-Neto F. An Introduction to Bartlett Correction and Bias Reduction

Berlin: Springer, 2014. — 113 p.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.Likelihood-Based Inference and Finite-Sample Corrections: A Brief Overview
Bartlett Corrections and Bootstrap Testing Inference
Bartlett-Type Corrections
Analytical and Bootstrap Bias Corrections