Mathematical Statistics
Basic Ideas and Selected Topics, Volume I, Second Edition
2nd Edition
Published on 25. March 2015
576 pages
978-1-4987-2381-7 (ISBN)
Description
Mathematical Statistics: Basic Ideas and Selected Topics, Volume I, Second Edition presents fundamental, classical statistical concepts at the doctorate level. It covers estimation, prediction, testing, confidence sets, Bayesian analysis, and the general approach of decision theory. This edition gives careful proofs of major results and explains ho
Reviews / Votes
"These methods are clearly explained by two outstanding statistical practitioners. ... This book is well supported by the references, increasing its value as a guide through the often difficult world of mathematical statistics. ...the authors consider key topics which include asymptotic efficiency in semiparametric models, semiparametric maximum likelihood estimation, proportional hazards regression models and Markov chain Monte Carlo methods."- Receptos Pharmaceuticals, San Diego, 2016 "These methods are clearly explained by two outstanding statistical practitioners. ... This book is well supported by the references, increasing its value as a guide through the often difficult world of mathematical statistics. ...the authors consider key topics which include asymptotic efficiency in semiparametric models, semiparametric maximum likelihood estimation, proportional hazards regression models and Markov chain Monte Carlo methods."
- Receptos Pharmaceuticals, San Diego, 2016
More details
Series
Edition
2nd edition
Language
English
Place of publication
Philadelphia, PA
United States
Publishing group
Taylor & Francis Inc
Target group
College/higher education
Edition type
Revised edition
Illustrations
19 s/w Abbildungen, 16 s/w Tabellen
19 b/w images and 16 tables
File size
5,61 MB
ISBN-13
978-1-4987-2381-7 (9781498723817)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Peter J. Bickel | Kjell A. Doksum
Mathematical Statistics
Basic Ideas and Selected Topics, Volume I, Second Edition
Book
04/2015
2nd Edition
Chapman & Hall/CRC
€154.80
Shipment within 15-20 days
Previous edition
A. A. Borokov
Mathematical Statistics
E-Book
01/2019
1st Edition
Routledge
€377.99
Available for download
Persons
Peter J. Bickel is a professor emeritus in the Department of Statistics and a professor in the Graduate School at the University of California, Berkeley. Dr. Bickel is a member of the American Academy of Arts and Sciences and the National Academy of Sciences. He has been a Guggenheim Fellow and MacArthur Fellow, a recipient of the COPSS Presidents' Award, and president of the Bernoulli Society and the Institute of Mathematical Statistics. He holds honorary doctorate degrees from the Hebrew University of Jerusalem and ETH Zurich.
Kjell A. Doksum is a senior scientist in the Department of Statistics at the University of Wisconsin-Madison. His research encompasses the estimation of nonparametric regression and correlation curves, inference for global measures of association in semiparametric and nonparametric settings, the estimation of regression quantiles, statistical modeling and analysis of HIV data, the analysis of financial data, and Bayesian nonparametric inference.
Kjell A. Doksum is a senior scientist in the Department of Statistics at the University of Wisconsin-Madison. His research encompasses the estimation of nonparametric regression and correlation curves, inference for global measures of association in semiparametric and nonparametric settings, the estimation of regression quantiles, statistical modeling and analysis of HIV data, the analysis of financial data, and Bayesian nonparametric inference.
Content
STATISTICAL MODELS, GOALS, AND PERFORMANCE CRITERIA. METHODS OF ESTIMATION. MEASURES OF PERFORMANCE. TESTING AND CONFIDENCE REGIONS. ASYMPTOTIC APPROXIMATIONS. INFERENCE IN THE MULTIPARAMETER CASE. APPENDICES. INDEX.
