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Friday, June 21, 2013

Essential Statistical Inference: Theory and Methods

Essential Statistical Inference: Theory and Methods - Free Ebook Download

Book Detail

Author/Editor(s): Dennis D. Boos, L A Stefanski
Publication Date: February 6, 2013
ISBN-10: 1461448174
ISBN-13: 978-1461448174
Language: English
Edition: 2013
Publisher: Springer
Size: 3.64 MB
Format: pdf

Book 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.

About the Author

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.
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Essential Statistical Inference: Theory and Methods - Free Ebook Download
Essential Statistical Inference: Theory and Methods - Free Ebook Download
Essential Statistical Inference: Theory and Methods - Free Ebook Download
Essential Statistical Inference: Theory and Methods - Free Ebook Download

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