| 书目名称 | Multivariate Statistical Modelling Based on Generalized Linear Models |
| 编辑 | Ludwig Fahrmeir,Gerhard Tutz |
| 视频video | |
| 概述 | New edition conatins extended coverage of Bayesian concepts which are of growing importance.Analyzes real data drawn from diverse fields, incl. biology, economics, and the social sciences.Modern metho |
| 丛书名称 | Springer Series in Statistics |
| 图书封面 |  |
| 描述 | Since our first edition of this book, many developments in statistical mod elling based on generalized linear models have been published, and our primary aim is to bring the book up to date. Naturally, the choice of these recent developments reflects our own teaching and research interests. The new organization parallels that of the first edition. We try to motiv ate and illustrate concepts with examples using real data, and most data sets are available on http:/ fwww. stat. uni-muenchen. de/welcome_e. html, with a link to data archive. We could not treat all recent developments in the main text, and in such cases we point to references at the end of each chapter. Many changes will be found in several sections, especially with those connected to Bayesian concepts. For example, the treatment of marginal models in Chapter 3 is now current and state-of-the-art. The coverage of nonparametric and semiparametric generalized regression in Chapter 5 is completely rewritten with a shift of emphasis to linear bases, as well as new sections on local smoothing approaches and Bayesian inference. Chapter 6 now incorporates developments in parametric modelling of both time series and longitudin |
| 出版日期 | Book 2001Latest edition |
| 关键词 | Fitting; Generalized linear model; Regression analysis; Survival analysis; Time series; best fit; data ana |
| 版次 | 2 |
| doi | https://doi.org/10.1007/978-1-4757-3454-6 |
| isbn_softcover | 978-1-4419-2900-6 |
| isbn_ebook | 978-1-4757-3454-6Series ISSN 0172-7397 Series E-ISSN 2197-568X |
| issn_series | 0172-7397 |
| copyright | Springer-Verlag New York 2001 |
发表于 2025-3-21 19:08:39
