Multivariate Exponential Families: A Concise Guide to Statistical Inference (SpringerBriefs in Statistics) - Softcover

Bedbur, Stefan; Kamps, Udo

 
9783030818999: Multivariate Exponential Families: A Concise Guide to Statistical Inference (SpringerBriefs in Statistics)
Softcover
ISBN 10: 3030818993 ISBN 13: 9783030818999
Publisher: Springer, 2021

Synopsis

This book provides a concise introduction to exponential families. Parametric families of probability distributions and their properties are extensively studied in the literature on statistical modeling and inference. Exponential families of distributions comprise density functions of a particular form, which enables general assertions and leads to nice features. With a focus on parameter estimation and hypotheses testing, the text introduces the reader to distributional and statistical properties of multivariate and multiparameter exponential families along with a variety of detailed examples. The material is widely self-contained and written in a mathematical setting. It may serve both as a concise, mathematically rigorous course on exponential families in a systematic structure and as an introduction to Mathematical Statistics restricted to the use of exponential families.


"synopsis" may belong to another edition of this title.

About the Author

Stefan Bedbur has a postdoctoral position at the Chair in Statistics, RWTH Aachen University, where he was awarded the honorary title RWTH Lecturer in 2020.


Udo Kamps holds the Chair in Statistics at the Institute of Statistics, RWTH Aachen University, and is an elected member of the International Statistical Institute since 2000.
Their main fields of work are Applied and Mathematical Statistics, Reliability Theory, and Models for Ordered Data.


From the Back Cover

This book provides a concise introduction to exponential families. Parametric families of probability distributions and their properties are extensively studied in the literature on statistical modeling and inference. Exponential families of distributions comprise density functions of a particular form, which enables general assertions and leads to nice features. With a focus on parameter estimation and hypotheses testing, the text introduces the reader to distributional and statistical properties of multivariate and multiparameter exponential families along with a variety of detailed examples. The material is widely self-contained and written in a mathematical setting. It may serve both as a concise, mathematically rigorous course on exponential families in a systematic structure and as an introduction to Mathematical Statistics restricted to the use of exponential families.


"About this title" may belong to another edition of this title.

Publisher
Springer
Publication date
2021
Language
English
ISBN 10 
3030818993
ISBN 13 
9783030818999
Binding
Paperback
Edition number
1
Number of pages
152