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Springerbriefs in Statistics Ser.: Multivariate Exponential Families: a Concise Guide to Statistical Inference by Udo Kamps and Stefan Bedbur (2021, Trade Paperback)

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Product Identifiers

PublisherSpringer International Publishing A&G
ISBN-103030818993
ISBN-139783030818999
eBay Product ID (ePID)25050394028

Product Key Features

Number of PagesX, 142 Pages
LanguageEnglish
Publication NameMultivariate Exponential Families: a Concise Guide to Statistical Inference
SubjectBiostatistics, Probability & Statistics / General, Computer Science
Publication Year2021
TypeTextbook
AuthorUdo Kamps, Stefan Bedbur
Subject AreaMathematics, Computers, Medical
SeriesSpringerbriefs in Statistics Ser.
FormatTrade Paperback

Dimensions

Item Weight8.6 Oz
Item Length9.3 in
Item Width6.1 in

Additional Product Features

Number of Volumes1 vol.
IllustratedYes
Table Of ContentIntroduction.- Parametrizations and Basic Properties.- Distributional and Statistical Properties.- Parameter Estimation.- Hypotheses Testing.- Exemplary Multivariate Applications.
SynopsisThis 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., Introduction.- Parametrizations and Basic Properties.- Distributional and Statistical Properties.- Parameter Estimation.- Hypotheses Testing.- Exemplary Multivariate Applications.
LC Classification NumberQA276-280