By Gauss M. Cordeiro,Francisco Cribari-Neto
This e-book offers a concise advent to Bartlett and Bartlett-type corrections of statistical exams and bias correction of element estimators. The underlying suggestion 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 replacement innovations for making improvements to estimators and checks in accordance with bootstrap, a knowledge resampling process and talk 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