(DOWNLOAD) "Essential Statistical Inference" by Dennis D. Boos & L. A. Stefanski * eBook PDF Kindle ePub Free

eBook details

Title: Essential Statistical Inference
Author : Dennis D. Boos & L. A. Stefanski
Release Date : January 06, 2013
Genre: Mathematics,Books,Science & Nature,Computers & Internet,Computers,
Pages : * pages
Size : 12297 KB

Description

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 the bootstrap. R code is woven throughout the text, and there are a large number of examples and problems.

An important goal has been to make the topics accessible to a wide audience, with little overt reliance on measure theory. A typical semester course consists of Chapters 1-6 (likelihood-based estimation and testing, Bayesian inference, basic asymptotic results) plus selections from M-estimation and related testing and resampling methodology.

Dennis Boos and Len Stefanski are professors in the Department of Statistics at North Carolina State. Their research has been eclectic, often with a robustness angle, although Stefanski is also known for research concentrated on measurement error, including a co-authored book on non-linear measurement error models. In recent years the authors have jointly worked on variable selection methods.