Essential Statistical Inference

Essential Statistical Inference
Author :
Publisher : Springer Science & Business Media
Total Pages : 567
Release :
ISBN-10 : 9781461448181
ISBN-13 : 1461448182
Rating : 4/5 (182 Downloads)

Book Synopsis Essential Statistical Inference by : Dennis D. Boos

Download or read book Essential Statistical Inference written by Dennis D. Boos and published by Springer Science & Business Media. This book was released on 2013-02-06 with total page 567 pages. Available in PDF, EPUB and Kindle. Book excerpt: ​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. ​


Essential Statistical Inference Related Books

Essential Statistical Inference
Language: en
Pages: 567
Authors: Dennis D. Boos
Categories: Mathematics
Type: BOOK - Published: 2013-02-06 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

​This book is for students and researchers who have had a first year graduate level mathematical statistics course. It covers classical likelihood, Bayesian,
Essentials of Statistical Inference
Language: en
Pages: 240
Authors: G. A. Young
Categories: Mathematics
Type: BOOK - Published: 2005-07-25 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

Aimed at advanced undergraduates and graduate students in mathematics and related disciplines, this engaging textbook gives a concise account of the main approa
Essentials of Inferential Statistics
Language: en
Pages: 304
Authors: Malcolm O. Asadoorian
Categories: Business & Economics
Type: BOOK - Published: 2005 - Publisher: University Press of America

DOWNLOAD EBOOK

Essentials of Inferential Statistics, fourth edition is appropriate for a one semester first course in Applied Statistics or as a reference book for practicing
Statistical Inference
Language: en
Pages: 1746
Authors: George Casella
Categories: Mathematics
Type: BOOK - Published: 2024-05-23 - Publisher: CRC Press

DOWNLOAD EBOOK

This classic textbook builds theoretical statistics from the first principles of probability theory. Starting from the basics of probability, the authors develo
Statistical Inference
Language: en
Pages: 294
Authors: Michael J. Panik
Categories: Mathematics
Type: BOOK - Published: 2012-06-06 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

A concise, easily accessible introduction to descriptive and inferential techniques Statistical Inference: A Short Course offers a concise presentation of the e