| 书目名称 | The Statistical Analysis of Discrete Data | | 编辑 | Thomas J. Santner,Diane E. Duffy | | 视频video | http://file.papertrans.cn/921/920533/920533.mp4 | | 丛书名称 | Springer Texts in Statistics | | 图书封面 |  | | 描述 | The Statistical Analysis of Discrete Data provides an introduction to cur rent statistical methods for analyzing discrete response data. The book can be used as a course text for graduate students and as a reference for researchers who analyze discrete data. The book‘s mathematical prereq uisites are linear algebra and elementary advanced calculus. It assumes a basic statistics course which includes some decision theory, and knowledge of classical linear model theory for continuous response data. Problems are provided at the end of each chapter to give the reader an opportunity to ap ply the methods in the text, to explore extensions of the material covered, and to analyze data with discrete responses. In the text examples, and in the problems, we have sought to include interesting data sets from a wide variety of fields including political science, medicine, nuclear engineering, sociology, ecology, cancer research, library science, and biology. Although there are several texts available on discrete data analysis, we felt there was a need for a book which incorporated some of the myriad recent research advances. Our motivation was to introduce the subject by emphasizing its ties | | 出版日期 | Textbook 1989 | | 关键词 | Logistic Regression; calculus; linear algebra; statistical analysis; statistics | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4612-1017-7 | | isbn_softcover | 978-1-4612-6986-1 | | isbn_ebook | 978-1-4612-1017-7Series ISSN 1431-875X Series E-ISSN 2197-4136 | | issn_series | 1431-875X | | copyright | Springer-Verlag New York Inc. 1989 |
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