Multivariate Exponential Families: A Concise Guide to Statistical Inference

von Stefan Bedbur, Udo Kamps

142 Seiten, Taschenbuch

Kurzbeschreibung des Verlags

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.

• Reihe: SpringerBriefs in Statistics
• Themen: Mathematik und Naturwissenschaften Mathematik Wahrscheinlichkeitsrechnung und Statistik
• ISBN: 9783030818999
• Sprache: Englisch
• Erscheinungsdatum: 08.10.2021
• Größe: 23.5 x 15.5 cm
• Verlag: Springer International Publishing