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Field name	Details
Dewey Class	519.5
Title	Essential Statistical Inference ([Ebook]) : Theory and Methods / by Dennis D. Boos, L. A. Stefanski.
Author	Boos, Dennis D.
Added Personal Name	Stefanski, L. A.
Other name(s)	SpringerLink (Online service)
Publication	New York, NY : Springer
Publication	, 2013.
Physical Details	XVII, 568 pages: 34 illus. : online resource.
Series	Springer Texts in Statistics 1431-875X ; ; 120
ISBN	9781461448181
Summary Note	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;Â an introduction to basic asymptotic distribution theory; and modern topics like M-estimation,Â 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 relianceÂ 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 forÂ research concentrated on measurement error, including a co-authored book on non-linear measurementÂ error models. In recent years the authors have jointly worked on variable selection methods.Â :
Contents note	Roles of Modeling in Statistical Inference.- Likelihood Construction and Estimation.- Likelihood-Based Tests and Confidence Regions.- Bayesian Inference.- Large Sample Theory: The Basics.- Large Sample Results for Likelihood-Based Methods.- M-Estimation (Estimating Equations).- Hypothesis Tests under Misspecification and RelaxedÂ Assumptions .-Â Monte Carlo Simulation Studies .- Jackknife.-Â Bootstrap.-Â Permutation and Rank Tests.-Â Appendix: Derivative Notation and Formulas.-Â References.-Â Author Index.-Â Example Index -- R-code Index -- Subject Index.Â .
System details note	Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users).
Internet Site	http://dx.doi.org/10.1007/978-1-4614-4818-1
Links to Related Works	Subject References: Mathematical Statistics . Statistical Theory and Methods . Statistics . Statistics and Computing/Statistics Programs . Statistics, general . Authors: author . Boos, Dennis D. . Stefanski, L. A. . Corporate Authors: SpringerLink (Online service) . Series: Springer Texts in Statistics . Classification: 519.5 . 519.5 (DDC 23) .

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Essential Statistical Inference: Theory and Methods

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