1 edition of **Essential Statistical Inference** found in the catalog.

- 254 Want to read
- 11 Currently reading

Published
**2013**
by Springer New York, Imprint: Springer in New York, NY
.

Written in English

- Mathematical statistics,
- Statistics,
- Statistics, general,
- Statistics and Computing/Statistics Programs,
- Statistical Theory and Methods

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.

**Edition Notes**

Statement | by Dennis D. Boos, L. A. Stefanski |

Series | Springer Texts in Statistics -- 120 |

Contributions | Stefanski, L. A., SpringerLink (Online service) |

Classifications | |
---|---|

LC Classifications | QA276-280 |

The Physical Object | |

Format | [electronic resource] : |

Pagination | XVII, 568 p. 34 illus. |

Number of Pages | 568 |

ID Numbers | |

Open Library | OL27037260M |

ISBN 10 | 9781461448181 |

Title: Statistical Inference Author: George Casella, Roger L. Berger Created Date: 1/9/ PM. Essential Statistical Inference. por Dennis D. Boos,L A Stefanski. Springer Texts in Statistics (Book ) ¡Gracias por compartir! Has enviado la siguiente calificación y reseña. Lo publicaremos en nuestro sitio después de haberla : Springer New York.

Get this from a library! Essential Statistical Inference: Theory and Methods. [Dennis D Boos; L A Stefanski] -- 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. The book is designed for students in statistics at the master level. It focuses on problem solving in the field of statistical inference and should be regarded as a complement to text books such as Wackerly et al , Mathematical Statistics with Applications or Casella & Berger , Statistical Inference. The authorFile Size: 6MB.

Up to 90% off Textbooks at Amazon Canada. Plus, free two-day shipping for six months when you sign up for Amazon Prime for Students/5(4). Statistical Learning: Data Mining, Inference, and Prediction. Robert Tibshirani. Jerome Friedman. #N#What's new in the 2nd edition? Download the book PDF (corrected 12th printing Jan ) " a beautiful book". David Hand, Biometrics "An important contribution that will become a classic" Michael Chernick, Amazon

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Essential Statistical Inference is an excellent reference for researchers and an outstanding instructional tool for graduate-level educators." (Brent A.

Johnson, Associate Professor, Department of Biostatistics and Bioinformatics, Emory University) "This modern treatment of graduate-level statistical inference is exceptionally well by: Essential Statistical Inference is an excellent reference for researchers and an outstanding instructional tool for graduate-level educators." (Brent A.

Johnson, Essential Statistical Inference book Professor, Department of Biostatistics and Bioinformatics, Emory University) "This modern treatment of graduate-level statistical inference is exceptionally well written.5/5(2).

"Essentials of Statistical Inference is a book worth having." Jane L. Harvill, Baylor University for the Journal of The American Statistician "The book is comprehensively written without dwelling in unnecessary details."Cited by: Essential Statistical Inference: Theory and Methods (Springer Texts in Statistics) edition by Boos, Dennis D., Stefanski, Leonard A.

() Hardcover Hardcover – New from.5/5(2). Essential Statistical Inference is an excellent reference for researchers and an outstanding instructional tool for graduate-level educators." (Brent A. Johnson, Associate Professor, Department of Biostatistics and Bioinformatics, Emory University) "This modern treatment of graduate-level statistical inference is exceptionally well written.

Essential Statistical Inference: Theory and Methods - Ebook written by Dennis D. Boos, L A Stefanski. Read this book using Google Play Books app on your PC, android, iOS devices. Download for offline reading, highlight, bookmark or take notes while you read Essential Statistical Inference: Theory and Methods.

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. 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.

The book Essential Statistical Inference: Theory and Methods (Springer Texts in Statistics) edition by Boos, Dennis D., Stefanski, Leonard A. () Hardcover can give more knowledge and information about. "This book is very unique in that the authors present the foundations of all three schools of inference and produce the essential theoretical results in each approach.

This text also contains a great bibliography that is partially annotated. Readers should pay attention to the annotations as they are very enlightening/5(4).

‘Essentials of Statistical Inference is a book worth having.’ Jane L. Harvill Source: Journal of the American Statistical Association ‘The book is comprehensively written without dwelling in unnecessary details.’Cited by: Essentials of Statistical Inference.

This textbook presents the concepts and results underlying the Bayesian, frequentist, and Fisherian approaches to statistical inference, with particular emphasis on the contrasts between them.

This textbook presents the concepts and results underlying the Bayesian, frequentist, and Fisherian approaches to statistical inference, with particular emphasis on the contrasts between them. Aimed at advanced undergraduates and graduate students in mathematics and related disciplines, /5(8).

Essential Statistical Inference. by Dennis D. Boos,L A Stefanski. Springer Texts in Statistics (Book ) Thanks for Sharing. You submitted the following rating and review. We'll publish them on our site once we've reviewed : Springer New York.

“Essential statistical inference by Boos and Stefanski is an excellent book with appeal to advanced undergraduate and graduate students as well as researchers. An appropriate list of references is given at the end of the book. 3/5(1). “Essential statistical inference by Boos and Stefanski is an excellent book with appeal to advanced undergraduate and graduate students as well as researchers.

An appropriate list of references is given at the end of the book. Format: Paperback. Get this from a library. Essential statistical inference: theory and methods.

[Dennis D Boos; L A Stefanski] -- "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. Essential Statistical Inference: Theory and Methods. This book is for students and researchers who have had a first year graduate level mathematical statistics course.

Open Library is an open, editable library catalog, building towards a web page for every book ever published. Essential Statistical Inference by Dennis D. Boos,Springer edition, paperback. As far as Statistical Inference goes, the author has done a great job covering the essential topics.

The breadth and the depth of the content are are well balanced. I believe this book can be a great supplemental material for any statistics or probability course.4/5(2).

"Essential statistical inference by Boos and Stefanski is an excellent book with appeal to advanced undergraduate and graduate students as well as researchers.

An 3/5(1).Statistical Inference: A Short Course is an excellent book for courses on probability, mathematical statistics, and statistical inference at the upper-undergraduate and graduate levels. The book also serves as a valuable reference for researchers and practitioners who would like to develop further insights into essential statistical tools.Essentials of Statistical Inference G.

A. Young, R. L. Smith This engaging textbook presents the concepts and results underlying the Bayesian, frequentist and Fisherian approaches to statistical inference, with particular emphasis on the contrasts between them.