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03320nam a22004575i 4500 |
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978-1-4614-4818-1 |
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|a 9781461448181
|9 978-1-4614-4818-1
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|a 10.1007/978-1-4614-4818-1
|2 doi
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|a QA276-280
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|a MAT029000
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|a 519.5
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|a Boos, Dennis D.
|e author.
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|a Essential Statistical Inference
|h [electronic resource] :
|b Theory and Methods /
|c by Dennis D Boos, L. A Stefanski.
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|a New York, NY :
|b Springer New York :
|b Imprint: Springer,
|c 2013.
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|a XVII, 568 p. 34 illus.
|b online resource.
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|a text
|b txt
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|a computer
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|a online resource
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|a text file
|b PDF
|2 rda
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|a Springer Texts in Statistics,
|x 1431-875X ;
|v 120
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|a 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.
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|a 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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| 650 |
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|a Statistics.
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| 650 |
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|a Statistics.
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| 650 |
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|a Statistical Theory and Methods.
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| 650 |
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|a Statistics, general.
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| 650 |
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|a Statistics and Computing/Statistics Programs.
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|a Stefanski, L. A.
|e author.
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|a SpringerLink (Online service)
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|t Springer eBooks
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|i Printed edition:
|z 9781461448174
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| 830 |
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|a Springer Texts in Statistics,
|x 1431-875X ;
|v 120
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| 856 |
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|u http://dx.doi.org/10.1007/978-1-4614-4818-1
|z Full Text via HEAL-Link
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|a ZDB-2-SMA
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| 950 |
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|a Mathematics and Statistics (Springer-11649)
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