Multivariate Exponential Families A Concise Guide to Statistical Inference is popular PDF and ePub book, written by Stefan Bedbur in 2021-10-07, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Multivariate Exponential Families A Concise Guide to Statistical Inference can be Read Online from any device for your convenience.
Multivariate Exponential Families A Concise Guide to Statistical Inference Book PDF Summary
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.
Detail Book of Multivariate Exponential Families A Concise Guide to Statistical Inference PDF
- Author : Stefan Bedbur
- Release : 07 October 2021
- Publisher : Springer Nature
- ISBN : 9783030819002
- Genre : Mathematics
- Total Page : 147 pages
- Language : English
- PDF File Size : 18,9 Mb
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