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Englisch
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Beschreibung
This book introduces likelihood as a unifying concept in statistical modelling and inference. The complete range of concepts and applications are covered, from very simple to very complex studies. It relies on realistic examples, and presents the main results using heuristic rather than formal mathematical arguments.
This book introduces likelihood as a unifying concept in statistical modelling and inference. The complete range of concepts and applications are covered, from very simple to very complex studies. It relies on realistic examples, and presents the main results using heuristic rather than formal mathematical arguments.
Über den Autor
Yudi Pawitan is a Professor in the Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Sweden
Inhaltsverzeichnis
- 1: Introduction
- 2: Elements of likelihood inference
- 3: More properties of the likelihood
- 4: Basic models and simple applications
- 5: Frequentist properties
- 6: Modelling relationships: regression models
- 7: Evidence and the likelihood principle
- 8: Score function and Fisher information
- 9: Large Sample Results
- 10: Dealing with nuisance parameters
- 11: Complex data structure
- 12: EM Algorithm
- 13: Robustness of likelihood specification
- 14: Estimating equation and quasi-likelihood
- 15: Empirical likelihood
- 16: Likelihood of random parameters
- 17: Random and mixed effects models
- 18: Nonparametric smoothing
Details
Erscheinungsjahr: | 2013 |
---|---|
Fachbereich: | Wahrscheinlichkeitstheorie |
Genre: | Mathematik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
ISBN-13: | 9780199671229 |
ISBN-10: | 0199671222 |
Sprache: | Englisch |
Einband: | Kartoniert / Broschiert |
Autor: | Pawitan, Yudi |
Hersteller: | Hurst & Co. |
Maße: | 236 x 156 x 32 mm |
Von/Mit: | Yudi Pawitan |
Erscheinungsdatum: | 01.03.2013 |
Gewicht: | 0,826 kg |
Über den Autor
Yudi Pawitan is a Professor in the Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Sweden
Inhaltsverzeichnis
- 1: Introduction
- 2: Elements of likelihood inference
- 3: More properties of the likelihood
- 4: Basic models and simple applications
- 5: Frequentist properties
- 6: Modelling relationships: regression models
- 7: Evidence and the likelihood principle
- 8: Score function and Fisher information
- 9: Large Sample Results
- 10: Dealing with nuisance parameters
- 11: Complex data structure
- 12: EM Algorithm
- 13: Robustness of likelihood specification
- 14: Estimating equation and quasi-likelihood
- 15: Empirical likelihood
- 16: Likelihood of random parameters
- 17: Random and mixed effects models
- 18: Nonparametric smoothing
Details
Erscheinungsjahr: | 2013 |
---|---|
Fachbereich: | Wahrscheinlichkeitstheorie |
Genre: | Mathematik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
ISBN-13: | 9780199671229 |
ISBN-10: | 0199671222 |
Sprache: | Englisch |
Einband: | Kartoniert / Broschiert |
Autor: | Pawitan, Yudi |
Hersteller: | Hurst & Co. |
Maße: | 236 x 156 x 32 mm |
Von/Mit: | Yudi Pawitan |
Erscheinungsdatum: | 01.03.2013 |
Gewicht: | 0,826 kg |
Warnhinweis