Multivariate Exponential Families: A Concise Guide to Statistical Inference e-bog
509,93 DKK
(inkl. moms 637,41 DKK)
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 estim...
E-bog
509,93 DKK
Forlag
Springer
Udgivet
7 oktober 2021
Genrer
Probability and statistics
Sprog
English
Format
epub
Beskyttelse
LCP
ISBN
9783030819002
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.