By Gauss M. Cordeiro,Francisco Cribari-Neto
This ebook offers a concise advent to Bartlett and Bartlett-type corrections of statistical exams and bias correction of element estimators. The underlying proposal at the back of either teams of corrections is to acquire larger accuracy in small samples. whereas the focus is on corrections that may be analytically derived, the authors additionally current replacement recommendations for making improvements to estimators and checks in response to bootstrap, an information resampling approach and speak about concrete functions to numerous vital statistical models.
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Additional 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