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portada Essential Statistical Inference: Theory and Methods (Springer Texts in Statistics)
Type
Physical Book
Publisher
Author
Year
2013
Language
English
Pages
568
Format
Hardcover
ISBN
1461448174
ISBN13
9781461448174
Edition No.
2013
Categories

Essential Statistical Inference: Theory and Methods (Springer Texts in Statistics)

Dennis D. Boos; L A Stefanski (Author) · Springer · Hardcover

Essential Statistical Inference: Theory and Methods (Springer Texts in Statistics) - Dennis D. Boos; L A Stefanski

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Synopsis "Essential Statistical Inference: Theory and Methods (Springer Texts in Statistics) "

​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. ​

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