Essential Statistical Inference | Taschenbuch

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Cover: 9781489987938 | Essential Statistical Inference | Theory and Methods | Taschenbuch

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Sprache: Englisch

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Beschreibung

¿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. ¿

Über den Autor

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.

Zusammenfassung

Valuable text for graduate students and reference for researchers

Contains R code throughout the text and in sample problems

Includes unique page references to equation displays

Inhaltsverzeichnis

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 Relaxed Assumptions.- Monte Carlo Simulation Studies.- Jackknife.- Bootstrap.- Permutation and Rank Tests.- Appendix: Derivative Notation and Formulas.- References.- Author Index.- Example Index.- R-code Index.- Subject Index.

Details

Medium:	Taschenbuch
Seiten:	588
Reihe:	Springer Texts in Statistics
Inhalt:	xvii 568 S. 34 s/w Illustr. 568 p. 34 illus.
ISBN-13:	9781489987938
ISBN-10:	1489987932
Sprache:	Englisch
Ausstattung / Beilage:	Paperback
Einband:	Kartoniert / Broschiert
Autor:	Stefanski, L A Boos, Dennis D.
Auflage:	2013
Hersteller:	Springer New York Springer US, New York, N.Y. Springer Texts in Statistics
Maße:	235 x 155 x 32 mm
Von/Mit:	L A Stefanski (u. a.)
Erscheinungsdatum:	06.03.2015
Gewicht:	0,879 kg

preigu-id: 104806849