By Gauss M. Cordeiro,Francisco Cribari-Neto
This booklet provides a concise advent to Bartlett and Bartlett-type corrections of statistical assessments and bias correction of aspect estimators. The underlying notion at the back of either teams of corrections is to procure better accuracy in small samples. whereas the focus is on corrections that may be analytically derived, the authors additionally current replacement innovations for bettering estimators and exams in line with bootstrap, a knowledge resampling strategy and speak about concrete functions to a number of vital statistical models.
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Extra info 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