| 書目名稱 | Plane Answers to Complex Questions |
| 副標(biāo)題 | The Theory of Linear |
| 編輯 | Ronald Christensen |
| 視頻video | http://file.papertrans.cn/749/748249/748249.mp4 |
| 叢書名稱 | Springer Texts in Statistics |
| 圖書封面 |  |
| 描述 | The third edition of Plane Answers includes fundamental changes in how some aspects of the theory are handled. Chapter 1 includes a new section that introduces generalized linear models. Primarily, this provides a defini- tion so as to allow comments on how aspects of linear model theory extend to generalized linear models. For years I have been unhappy with the concept of estimability. Just because you cannot get a linear unbiased estimate of something does not mean you cannot estimate it. For example, it is obvious how to estimate the ratio of two contrasts in an ANOVA, just estimate each one and take their ratio. The real issue is that if the model matrix X is not of full rank, the parameters are not identifiable. Section 2.1 now introduces the concept of identifiability and treats estimability as a special case of identifiability. This change also resulted in some minor changes in Section 2.2. In the second edition, Appendix F presented an alternative approach to dealing with linear parametric constraints. In this edition I have used the new approach in Section 3.3. I think that both the new approach and the old approach have virtues, so I have left a fair amount of the old app |
| 出版日期 | Textbook 20023rd edition |
| 關(guān)鍵詞 | ANOVA; Analysis; Analysis of variance; Factor analysis; Regression analysis; best fit; mathematical statis |
| 版次 | 3 |
| doi | https://doi.org/10.1007/978-0-387-21544-0 |
| isbn_softcover | 978-1-4419-2971-6 |
| isbn_ebook | 978-0-387-21544-0Series ISSN 1431-875X Series E-ISSN 2197-4136 |
| issn_series | 1431-875X |
| copyright | Springer Science+Business Media New York 2002 |
|Archiver|手機(jī)版|小黑屋|
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