Applying Generalized Linear Models:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York, NY
Springer New York
1997
|
| Schriftenreihe: | Springer Texts in Statistics
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | Applying Generalized Linear Models describes how generalized linear modelling procedures can be used for statistical modelling in many different fields, without becoming lost in problems of statistical inference. Many students, even in relatively advanced statistics courses, do not have an overview whereby they can see that the three areas - linear normal, categorical, and survival models - have much in common. The author shows the unity of many of the commonly used models and provides the reader with a taste of many different areas, such as survival models, time series, and spatial analysis. This book should appeal to applied statisticians and to scientists with a basic grounding in modern statistics. With the many exercises included at the ends of chapters, it will be an excellent text for teaching the fundamental uses of statistical modelling. The reader is assumed to have knowledge of basic statistical principles, whether from a Bayesian, frequentist, or direct likelihood point of view, and should be familiar at least with the analysis of the simpler normal linear models, regression and ANOVA. The author is professor in the biostatistics department at Limburgs University, Diepenbeek, in the social science department at the University of Liège, and in medical statistics at DeMontfort University, Leicester. He is the author of nine other books |
| Beschreibung: | 1 Online-Ressource (XIV, 256 p) |
| ISBN: | 9780387227306 9780387982182 |
| ISSN: | 1431-875X |
| DOI: | 10.1007/b98856 |
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| discipline | Mathematik |
| doi_str_mv | 10.1007/b98856 |
| format | Electronic eBook |
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| spelling | Lindsey, James K. Verfasser aut Applying Generalized Linear Models by James K. Lindsey New York, NY Springer New York 1997 1 Online-Ressource (XIV, 256 p) txt rdacontent c rdamedia cr rdacarrier Springer Texts in Statistics 1431-875X Applying Generalized Linear Models describes how generalized linear modelling procedures can be used for statistical modelling in many different fields, without becoming lost in problems of statistical inference. Many students, even in relatively advanced statistics courses, do not have an overview whereby they can see that the three areas - linear normal, categorical, and survival models - have much in common. The author shows the unity of many of the commonly used models and provides the reader with a taste of many different areas, such as survival models, time series, and spatial analysis. This book should appeal to applied statisticians and to scientists with a basic grounding in modern statistics. With the many exercises included at the ends of chapters, it will be an excellent text for teaching the fundamental uses of statistical modelling. The reader is assumed to have knowledge of basic statistical principles, whether from a Bayesian, frequentist, or direct likelihood point of view, and should be familiar at least with the analysis of the simpler normal linear models, regression and ANOVA. The author is professor in the biostatistics department at Limburgs University, Diepenbeek, in the social science department at the University of Liège, and in medical statistics at DeMontfort University, Leicester. He is the author of nine other books Statistics Mathematical statistics Statistical Theory and Methods Statistics for Life Sciences, Medicine, Health Sciences Statistik Verallgemeinertes lineares Modell (DE-588)4124382-1 gnd rswk-swf 1\p (DE-588)4113937-9 Hochschulschrift gnd-content Verallgemeinertes lineares Modell (DE-588)4124382-1 s 2\p DE-604 https://doi.org/10.1007/b98856 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 | Lindsey, James K. Applying Generalized Linear Models Statistics Mathematical statistics Statistical Theory and Methods Statistics for Life Sciences, Medicine, Health Sciences Statistik Verallgemeinertes lineares Modell (DE-588)4124382-1 gnd |
| subject_GND | (DE-588)4124382-1 (DE-588)4113937-9 |
| title | Applying Generalized Linear Models |
| title_auth | Applying Generalized Linear Models |
| title_exact_search | Applying Generalized Linear Models |
| title_full | Applying Generalized Linear Models by James K. Lindsey |
| title_fullStr | Applying Generalized Linear Models by James K. Lindsey |
| title_full_unstemmed | Applying Generalized Linear Models by James K. Lindsey |
| title_short | Applying Generalized Linear Models |
| title_sort | applying generalized linear models |
| topic | Statistics Mathematical statistics Statistical Theory and Methods Statistics for Life Sciences, Medicine, Health Sciences Statistik Verallgemeinertes lineares Modell (DE-588)4124382-1 gnd |
| topic_facet | Statistics Mathematical statistics Statistical Theory and Methods Statistics for Life Sciences, Medicine, Health Sciences Statistik Verallgemeinertes lineares Modell Hochschulschrift |
| url | https://doi.org/10.1007/b98856 |
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