| 書目名稱 | Multivariate Exponential Families: A Concise Guide to Statistical Inference |
| 編輯 | Stefan Bedbur,Udo Kamps |
| 視頻video | http://file.papertrans.cn/642/641305/641305.mp4 |
| 概述 | 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 |
| 叢書名稱 | SpringerBriefs in Statistics |
| 圖書封面 |  |
| 描述 | .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.. |
| 出版日期 | Book 2021 |
| 關(guān)鍵詞 | Exponential Families; Parameter Estimation; Testing in Multiparameter Exponential Families; Confidence |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-81900-2 |
| isbn_softcover | 978-3-030-81899-9 |
| isbn_ebook | 978-3-030-81900-2Series ISSN 2191-544X Series E-ISSN 2191-5458 |
| issn_series | 2191-544X |
| copyright | The Author(s), under exclusive license to Springer Nature Switzerland AG 2021 |
|Archiver|手機(jī)版|小黑屋|
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