| 书目名称 | Regression Analysis | | 副标题 | Theory, Methods, and | | 编辑 | Ashish Sen,Muni Srivastava | | 视频video | | | 概述 | Includes supplementary material: .Request lecturer material: | | 丛书名称 | Springer Texts in Statistics | | 图书封面 |  | | 描述 | Any method of fitting equations to data may be called regression. Such equations are valuable for at least two purposes: making predictions and judging the strength of relationships. Because they provide a way of em pirically identifying how a variable is affected by other variables, regression methods have become essential in a wide range of fields, including the social sciences, engineering, medical research and business. Of the various methods of performing regression, least squares is the most widely used. In fact, linear least squares regression is by far the most widely used of any statistical technique. Although nonlinear least squares is covered in an appendix, this book is mainly about linear least squares applied to fit a single equation (as opposed to a system of equations). The writing of this book started in 1982. Since then, various drafts have been used at the University of Toronto for teaching a semester-long course to juniors, seniors and graduate students in a number of fields, including statistics, pharmacology, engineering, economics, forestry and the behav ioral sciences. Parts of the book have also been used in a quarter-long course given to Master‘s and Ph. | | 出版日期 | Textbook 1990 | | 关键词 | Bootstrapping; Estimator; Measure; Normal distribution; Random variable; Regression analysis; best fit | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4612-4470-7 | | isbn_softcover | 978-1-4612-8789-6 | | isbn_ebook | 978-1-4612-4470-7Series ISSN 1431-875X Series E-ISSN 2197-4136 | | issn_series | 1431-875X | | copyright | Springer-Verlag New York Inc. 1990 |
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发表于 2025-3-21 16:56:29
