An Introduction to Bartlett Correction and Bias Reduction

• Κύριοι συγγραφείς: Cordeiro, Gauss M. (Συγγραφέας), Cribari-Neto, Francisco (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2014.
• Σειρά: SpringerBriefs in Statistics,
• Θέματα: Statistics.; Econometrics.; Statistical Theory and Methods.; Statistics for Business/Economics/Mathematical Finance/Insurance.
• Φυσική περιγραφή: XI, 107 p. online resource.
• ISBN: 9783642552557
• ISSN: 2191-544X

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.