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Titlebook: Multivariate Statistical Modelling Based on Generalized Linear Models; Ludwig Fahrmeir,Gerhard Tutz Book 2001Latest edition Springer-Verla

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書目名稱Multivariate Statistical Modelling Based on Generalized Linear Models
編輯Ludwig Fahrmeir,Gerhard Tutz
視頻videohttp://file.papertrans.cn/642/641333/641333.mp4
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
叢書名稱Springer Series in Statistics
圖書封面Titlebook: Multivariate Statistical Modelling Based on Generalized Linear Models;  Ludwig Fahrmeir,Gerhard Tutz Book 2001Latest edition Springer-Verla
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
關(guān)鍵詞Fitting; Generalized linear model; Regression analysis; Survival analysis; Time series; best fit; data ana
版次2
doihttps://doi.org/10.1007/978-1-4757-3454-6
isbn_softcover978-1-4419-2900-6
isbn_ebook978-1-4757-3454-6Series ISSN 0172-7397 Series E-ISSN 2197-568X
issn_series 0172-7397
copyrightSpringer-Verlag New York 2001
The information of publication is updating

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Multivariate Statistical Modelling Based on Generalized Linear Models
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0172-7397 hift 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 longitudin978-1-4419-2900-6978-1-4757-3454-6Series ISSN 0172-7397 Series E-ISSN 2197-568X
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Ludwig Fahrmeir,Gerhard TutzNew 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
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