Overview
Exponential families, indicator functions and the support of the distribution are used throughout the text to simplify the theory
Many homework problems with over 30 pages of solutions
Covers complete sufficient statistics, maximum likelihood estimation, uniformly minimum unbiased estimators, UMP tests, and large sample theory
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (12 chapters)
-
Front Matter
-
Back Matter
Keywords
About this book
This text is for a one semester graduate course in statistical theory and covers minimal and complete sufficient statistics, maximum likelihood estimators, method of moments, bias and mean square error, uniform minimum variance estimators and the Cramer-Rao lower bound, an introduction to large sample theory, likelihood ratio tests and uniformly most powerful tests and the Neyman Pearson Lemma. A major goal of this text is to make these topics much more accessible to students by using the theory of exponential families.
Exponential families, indicator functions and the support of the distribution are used throughout the text to simplify the theory. More than 50 ``brand name" distributions are used to illustrate the theory with many examples of exponential families, maximum likelihood estimators and uniformly minimum variance unbiased estimators. There are many homework problems with over 30 pages of solutions.
Reviews
“This book describes the most important aspects of subjective classical statistical theory and inference similar to the treatment in Rohatgi … . The book can be considered as a guide for teachers and students in the first or second courses in classical statistical methods … . The book has been written with careful details and can serve as a good reference on the topics it covers. It is highly recommended … .” (Mariano Ruiz Espejo, International Statistical Review, Vol. 83 (1), 2015)
“This is a textbook for a one semester graduate course in statistical theory and covers mainly parametric methods. Its presentation based on the theory of exponential families (EFs) and the concept of support of the distribution makes the topics much more accessible to students.” (Oleksandr Kukush, zbMATH, Vol. 1305, 2015)
Authors and Affiliations
About the author
Bibliographic Information
Book Title: Statistical Theory and Inference
Authors: David J. Olive
DOI: https://doi.org/10.1007/978-3-319-04972-4
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing Switzerland 2014
Hardcover ISBN: 978-3-319-04971-7Published: 16 May 2014
Softcover ISBN: 978-3-319-37589-2Published: 03 September 2016
eBook ISBN: 978-3-319-04972-4Published: 07 May 2014
Edition Number: 1
Number of Pages: XII, 434
Number of Illustrations: 8 b/w illustrations
Topics: Statistical Theory and Methods, Probability Theory and Stochastic Processes, Statistics, general