By Gauss M. Cordeiro,Francisco Cribari-Neto
This publication offers a concise advent to Bartlett and Bartlett-type corrections of statistical checks and bias correction of aspect estimators. The underlying proposal in the back of either teams of corrections is to acquire better accuracy in small samples. whereas the main target is on corrections that may be analytically derived, the authors additionally current substitute innovations for making improvements to estimators and exams in accordance with bootstrap, a knowledge resampling procedure and talk about concrete functions to numerous very important statistical models.
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Extra resources for An Introduction to Bartlett Correction and Bias Reduction (SpringerBriefs in Statistics)
An Introduction to Bartlett Correction and Bias Reduction (SpringerBriefs in Statistics) by Gauss M. Cordeiro,Francisco Cribari-Neto