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Essential Statistical Inference Theory and Methods /

This book is for students and researchers who have had a first year graduate level mathematical statistics course.  It covers classical likelihood, Bayesian, and permutation inference; an introduction to basic asymptotic distribution theory; and modern topics like M-estimation, the jackknife, and th...

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Bibliographic Details
Call Number:Libro Electrónico
Main Authors: Boos, Dennis D. (Author), Stefanski, L A. (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:Inglés
Published: New York, NY : Springer New York : Imprint: Springer, 2013.
Edition:1st ed. 2013.
Series:Springer Texts in Statistics, 120
Subjects:
Online Access:Texto Completo