| 書目名稱 | Generalized Estimating Equations |
| 編輯 | Andreas Ziegler |
| 視頻video | http://file.papertrans.cn/383/382200/382200.mp4 |
| 概述 | Generalized estimating equations have become increasingly popular in biometrical, econometrical, and psychometrical applications.In this book, they are derived in a unified way using pseudo maximum li |
| 叢書名稱 | Lecture Notes in Statistics |
| 圖書封面 |  |
| 描述 | .Generalized estimating equations have become increasingly popular in biometrical, econometrical, and psychometrical applications because they overcome the classical assumptions of statistics, i.e. independence and normality, which are too restrictive for many problems..Therefore, the main goal of this book is to give a systematic presentation of the original generalized estimating equations (GEE) and some of its further developments. Subsequently, the emphasis is put on the unification of various GEE approaches. This is done by the use of two different estimation techniques, the pseudo maximum likelihood (PML) method and the generalized method of moments (GMM)..The author details the statistical foundation of the GEE approach using more general estimation techniques. The book could therefore be used as basis for a course to graduate students in statistics, biostatistics, or econometrics, and will be useful to practitioners in the same fields.. |
| 出版日期 | Book 2011 |
| 關鍵詞 | biometrics; clustered data; econometrics; generalized estimating equations; generalized linear model; gen |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4614-0499-6 |
| isbn_softcover | 978-1-4614-0498-9 |
| isbn_ebook | 978-1-4614-0499-6Series ISSN 0930-0325 Series E-ISSN 2197-7186 |
| issn_series | 0930-0325 |
| copyright | Springer Science+Business Media, LLC 2011 |
|Archiver|手機版|小黑屋|
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