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Statistics - Statistical Theory and Methods | An Introduction to Bartlett Correction and Bias Reduction

An Introduction to Bartlett Correction and Bias Reduction

Cordeiro, Gauss M., Cribari-Neto, Francisco

2014, XI, 107 p.

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  • Provides a unified overview of Bartlett corrections and bias reduction
  • Discusses bootstrap-based inference
  • Includes applications to┬áimportant statistical models

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.

Content Level » Research

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

Related subjects » Business, Economics & Finance - Econometrics / Statistics - Statistical Theory and Methods

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