Multivariate Exponential Families: A Concise Guide to Statistical Inference: SpringerBriefs in Statistics
Autor Stefan Bedbur, Udo Kampsen Limba Engleză Paperback – 8 oct 2021
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Specificații
ISBN-13: 9783030818999
ISBN-10: 3030818993
Pagini: 142
Ilustrații: X, 142 p. 1 illus.
Dimensiuni: 155 x 235 mm
Greutate: 0.23 kg
Ediția:1st ed. 2021
Editura: Springer International Publishing
Colecția Springer
Seria SpringerBriefs in Statistics
Locul publicării:Cham, Switzerland
ISBN-10: 3030818993
Pagini: 142
Ilustrații: X, 142 p. 1 illus.
Dimensiuni: 155 x 235 mm
Greutate: 0.23 kg
Ediția:1st ed. 2021
Editura: Springer International Publishing
Colecția Springer
Seria SpringerBriefs in Statistics
Locul publicării:Cham, Switzerland
Cuprins
Introduction.- Parametrizations and Basic Properties.- Distributional and Statistical Properties.- Parameter Estimation.- Hypotheses Testing.- Exemplary Multivariate Applications.
Notă biografică
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.
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.
Textul de pe ultima copertă
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.
Caracteristici
Gives a concise introduction to exponential families Includes a variety of detailed examples Provides a rigorous course for graduate students of statistics and mathematics as well as for researchers