| 书目名称 | Plane Answers to Complex Questions | | 副标题 | The Theory of Linear | | 编辑 | Ronald Christensen | | 视频video | | | 丛书名称 | Springer Texts in Statistics | | 图书封面 |  | | 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 | | 关键词 | 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 |
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发表于 2025-3-21 19:54:50
