Multivariate Exponential Families: A Concise Guide to Statistical Inference (1st ed. 2021) (SpringerBriefs in Statistics)

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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.
Copyright:
2021

Book Details

Book Quality:
Publisher Quality
ISBN-13:
9783030819002
Related ISBNs:
9783030818999
Publisher:
Springer International Publishing
Date of Addition:
Copyrighted By:
The Author
Adult content:
No
Language:
English
Has Image Descriptions:
No
Categories:
Nonfiction, Computers and Internet, Mathematics and Statistics, Medicine
Submitted By:
Bookshare Staff
Usage Restrictions:
This is a copyrighted book.

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