Statistical Modelling in GLIM 4

2. Auflage 2005
ISBN: 978-0-19-852413-7
Verlag: OUP Oxford

Buch, Englisch, 572 Seiten, Print PDF, Format (B × H): 161 mm x 240 mm, Gewicht: 1016 g

This new edition of the successful multi-disciplinary text Statistical Modelling in GLIM takes into account new developments in both statistical software and statistical modelling. Including three new chapters on mixture and random effects models, it provides a comprehensive treatment of the theory of statistical modelling with generalised linear models with an emphasis on applications to practical problems and an expanded discussion of statistical theory. A wide range of case studies is also provided, using the normal, binomial, Poisson, multinomial, gamma, exponential and Weibull distributions.

This book is ideal for graduates and research students in applied statistics and a wide range of quantitative disciplines, including biology, medicine and the social sciences. Professional statisticians at all levels will also find it an invaluable desktop companion.

Autoren/Hrsg.

Aitkin, Murray

Francis, Brian

Hinde, John

Fachgebiete

• Mathematik | Informatik Mathematik Stochastik Wahrscheinlichkeitsrechnung
• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Datenanalyse, Datenverarbeitung
• Mathematik | Informatik EDV | Informatik Informatik
• Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
• Mathematik | Informatik EDV | Informatik Business Application Mathematische & Statistische Software

Inhaltsverzeichnis

- Preface

- 1: Introducing GLIM4

- 2: Statistical modelling and inference

- 3: Regression and analysis of variance

- 4: Binary response data

- 5: Multinomial and Poisson response data

- 6: Survival data

- 7: Finite mixture models

- 8: Random effect models

- 9: Variance component models

- References

- Index