Multivariate statistical modelling based on generalized linear models:
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Weitere Verfasser: | |
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York, NY
Springer
2001
|
| Ausgabe: | Second edition |
| Schriftenreihe: | Springer Series in Statistics
|
| Schlagworte: | |
| Online-Zugang: | UBR01 Volltext |
| Beschreibung: | 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 longitudinal data. Additionally, random effect models in Chapter 7 now cover nonparametric maximum likelihood and a new section on fully Bayesian approaches. The modifications and extensions in Chapter 8 reflect the rapid development in state space and hidden Markov models |
| Beschreibung: | 1 Online-Ressource (XXVI, 518 Seiten) |
| ISBN: | 9781475734546 |
| ISSN: | 0172-7397 |
| DOI: | 10.1007/978-1-4757-3454-6 |
Internformat
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| discipline | Soziologie Mathematik Wirtschaftswissenschaften |
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| edition | Second edition |
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| isbn | 9781475734546 |
| issn | 0172-7397 |
| language | English |
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| spelling | Fahrmeir, Ludwig 1945- Verfasser (DE-588)120635682 aut Multivariate statistical modelling based on generalized linear models Ludwig Fahrmeir, Gerhard Tutz ; with contributions from Wolfgang Hennevogl Second edition New York, NY Springer 2001 1 Online-Ressource (XXVI, 518 Seiten) txt rdacontent c rdamedia cr rdacarrier Springer Series in Statistics 0172-7397 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 longitudinal data. Additionally, random effect models in Chapter 7 now cover nonparametric maximum likelihood and a new section on fully Bayesian approaches. The modifications and extensions in Chapter 8 reflect the rapid development in state space and hidden Markov models Statistics Mathematical statistics Economics / Statistics Statistical Theory and Methods Statistics for Business/Economics/Mathematical Finance/Insurance Statistics for Life Sciences, Medicine, Health Sciences Statistik Wirtschaft Multivariate Analyse (DE-588)4040708-1 gnd rswk-swf Multivariate Daten (DE-588)4195680-1 gnd rswk-swf Verallgemeinertes lineares Modell (DE-588)4124382-1 gnd rswk-swf Lineares Modell (DE-588)4134827-8 gnd rswk-swf Multivariate Daten (DE-588)4195680-1 s Verallgemeinertes lineares Modell (DE-588)4124382-1 s 1\p DE-604 Multivariate Analyse (DE-588)4040708-1 s Lineares Modell (DE-588)4134827-8 s 2\p DE-604 Tutz, Gerhard 1950- Verfasser (DE-588)172422973 aut Hennevogl, Wolfgang (DE-588)171017927 ctb Erscheint auch als Druck-Ausgabe 978-1-4419-2900-6 https://doi.org/10.1007/978-1-4757-3454-6 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Fahrmeir, Ludwig 1945- Tutz, Gerhard 1950- Multivariate statistical modelling based on generalized linear models Statistics Mathematical statistics Economics / Statistics Statistical Theory and Methods Statistics for Business/Economics/Mathematical Finance/Insurance Statistics for Life Sciences, Medicine, Health Sciences Statistik Wirtschaft Multivariate Analyse (DE-588)4040708-1 gnd Multivariate Daten (DE-588)4195680-1 gnd Verallgemeinertes lineares Modell (DE-588)4124382-1 gnd Lineares Modell (DE-588)4134827-8 gnd |
| subject_GND | (DE-588)4040708-1 (DE-588)4195680-1 (DE-588)4124382-1 (DE-588)4134827-8 |
| title | Multivariate statistical modelling based on generalized linear models |
| title_auth | Multivariate statistical modelling based on generalized linear models |
| title_exact_search | Multivariate statistical modelling based on generalized linear models |
| title_full | Multivariate statistical modelling based on generalized linear models Ludwig Fahrmeir, Gerhard Tutz ; with contributions from Wolfgang Hennevogl |
| title_fullStr | Multivariate statistical modelling based on generalized linear models Ludwig Fahrmeir, Gerhard Tutz ; with contributions from Wolfgang Hennevogl |
| title_full_unstemmed | Multivariate statistical modelling based on generalized linear models Ludwig Fahrmeir, Gerhard Tutz ; with contributions from Wolfgang Hennevogl |
| title_short | Multivariate statistical modelling based on generalized linear models |
| title_sort | multivariate statistical modelling based on generalized linear models |
| topic | Statistics Mathematical statistics Economics / Statistics Statistical Theory and Methods Statistics for Business/Economics/Mathematical Finance/Insurance Statistics for Life Sciences, Medicine, Health Sciences Statistik Wirtschaft Multivariate Analyse (DE-588)4040708-1 gnd Multivariate Daten (DE-588)4195680-1 gnd Verallgemeinertes lineares Modell (DE-588)4124382-1 gnd Lineares Modell (DE-588)4134827-8 gnd |
| topic_facet | Statistics Mathematical statistics Economics / Statistics Statistical Theory and Methods Statistics for Business/Economics/Mathematical Finance/Insurance Statistics for Life Sciences, Medicine, Health Sciences Statistik Wirtschaft Multivariate Analyse Multivariate Daten Verallgemeinertes lineares Modell Lineares Modell |
| url | https://doi.org/10.1007/978-1-4757-3454-6 |
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