| 書(shū)目名稱 | Regression Analysis | | 副標(biāo)題 | Theory, Methods and | | 編輯 | Ashish Sen,Muni Srivastava | | 視頻video | http://file.papertrans.cn/826/825508/825508.mp4 | | 叢書(shū)名稱 | Springer Texts in Statistics | | 圖書(shū)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 soeial seiences, 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 ab out 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-Iong course to juniors, seniors and graduate students in a number of fields, including statistics, pharmacology, pharmacology, engineering, economics, forestry and the behav- ioral seiences. Parts of the book have also been used in a quarter-Iong course given to M | | 出版日期 | Book 1990 | | 關(guān)鍵詞 | Fitting; Random variable; Regression analysis; Variance; best fit; correlation; derivative; distribution; no | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-662-25092-1 | | isbn_softcover | 978-3-540-97211-2 | | isbn_ebook | 978-3-662-25092-1Series ISSN 1431-875X Series E-ISSN 2197-4136 | | issn_series | 1431-875X | | copyright | Springer Science+Business Media New York 1990 |
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