Multivariate exponential families : a concise guide to statistical inference / Stefan Bedbur, Udo Kamps.

Unlimited

Authorized users

Can lend chapters, not whole ebooks

Multivariate exponential families : a concise guide to statistical inference / Stefan Bedbur, Udo Kamps.

9783030819002 (electronic bk.)
3030819000 (electronic bk.)
9783030818999
3030818993

Cham : Springer, [2021]

©2021

English

1 online resource.

10.1007/978-3-030-81900-2 doi

QA276.7 .B43 2021

519.5

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.

Includes bibliographical references and index.

Access limited to authorized users.

text file
PDF

Online resource; title from PDF title page (SpringerLink, viewed October 13, 2021).

SpringerBriefs in statistics.

Online Resources > Ebooks
All Resources