| 書目名稱 | Fitting Linear Relationships |
| 副標(biāo)題 | A History of the Cal |
| 編輯 | Richard William Farebrother |
| 視頻video | http://file.papertrans.cn/345/344010/344010.mp4 |
| 概述 | Gives a clear understanding of the historical development of commonly used statistical estimation procedures, an approach which is not found in other books Considers a wide variety of distinct approac |
| 叢書名稱 | Springer Series in Statistics |
| 圖書封面 |  |
| 描述 | This book is intended for students of mathematical statistics who are interested in the early history of their subject. It gives detailed algebraic descriptions of the fitting of linear relationships by the method of least squares (L ) and the related least absolute 2 deviations (L ) and minimax absolute deviations (Loo) procedures. These traditional line J fitting procedures are, of course, also addressed in conventional statistical textbooks, but the discussion of their historical background is usually extremely slight, if not entirely absent. The present book complements the analysis of these procedures given in S.M. Stigler‘S excellent work The History of Statistics: The Quantification of Uncertainty before 1900. However, the present book gives a more detailed account of the algebraic structure underlying these traditional fitting procedures. It is anticipated that readers of the present book will obtain a clear understanding of the historical background to these and other commonly used statistical procedures. Further, a careful consideration of the wide variety of distinct approaches to a particular topic, such as the method of least squares, will give the reader valuable insi |
| 出版日期 | Book 1999 |
| 關(guān)鍵詞 | Curve fitting; Fitting; linear optimization; mathematical statistics; statistics |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4612-0545-6 |
| isbn_softcover | 978-1-4612-6812-3 |
| isbn_ebook | 978-1-4612-0545-6Series ISSN 0172-7397 Series E-ISSN 2197-568X |
| issn_series | 0172-7397 |
| copyright | Springer Science+Business Media New York 1999 |
|Archiver|手機版|小黑屋|
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