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Multivariate exponential families = ...

Bedbur, Stefan.

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Multivariate exponential families = a concise guide to statistical inference /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Multivariate exponential families/ by Stefan Bedbur, Udo Kamps.
Reminder of title:	a concise guide to statistical inference /
Author:	Bedbur, Stefan.
other author:	Kamps, Udo.
Published:	Cham :Springer International Publishing : : 2021.,
Description:	x, 142 p. :ill., digital ;24 cm.
[NT 15003449]:	Introduction -- Parametrizations and Basic Properties -- Distributional and Statistical Properties -- Parameter Estimation -- Hypotheses Testing -- Exemplary Multivariate Applications.
Contained By:	Springer Nature eBook
Subject:	Exponential families (Statistics) -
Online resource:	https://doi.org/10.1007/978-3-030-81900-2
ISBN:	9783030819002

Multivariate exponential families = a concise guide to statistical inference /
Bedbur, Stefan.

Multivariate exponential familiesa concise guide to statistical inference /[electronic resource] :by Stefan Bedbur, Udo Kamps. - Cham :Springer International Publishing :2021. - x, 142 p. :ill., digital ;24 cm. - SpringerBriefs in statistics,2191-5458. - SpringerBriefs in statistics..

Introduction -- Parametrizations and Basic Properties -- Distributional and Statistical Properties -- Parameter Estimation -- Hypotheses Testing -- Exemplary Multivariate Applications.

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.

ISBN: 9783030819002

Standard No.: 10.1007/978-3-030-81900-2doiSubjects--Topical Terms:

648329
Exponential families (Statistics)

LC Class. No.: QA276.7 / .B43 2021

Dewey Class. No.: 519.5

Multivariate exponential families = a concise guide to statistical inference /
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100 1 $a Bedbur, Stefan. $3 3522279
245 1 0 $a Multivariate exponential families $h [electronic resource] : $b a concise guide to statistical inference / $c by Stefan Bedbur, Udo Kamps.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a x, 142 p. : $b ill., digital ; $c 24 cm.
490 1 $a SpringerBriefs in statistics, $x 2191-5458
505 0 $a Introduction -- Parametrizations and Basic Properties -- Distributional and Statistical Properties -- Parameter Estimation -- Hypotheses Testing -- Exemplary Multivariate Applications.
520 $a 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.
650 0 $a Exponential families (Statistics) $3 648329
650 1 4 $a Statistical Theory and Methods. $3 891074
650 2 4 $a Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. $3 1005896
650 2 4 $a Statistics for Life Sciences, Medicine, Health Sciences. $3 891086
650 2 4 $a Probability and Statistics in Computer Science. $3 891072
700 1 $a Kamps, Udo. $3 3522280
710 2 $a SpringerLink (Online service) $3 836513
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830 0 $a SpringerBriefs in statistics. $3 1565658
856 4 0 $u https://doi.org/10.1007/978-3-030-81900-2
950 $a Mathematics and Statistics (SpringerNature-11649)