Modelling Frequency and Count Data

Erscheinungsjahr 1996
ISBN: 978-0-19-852331-4
Verlag: OUP Oxford

Buch, Englisch, 300 Seiten, Print PDF, Format (B × H): 157 mm x 235 mm, Gewicht: 647 g

Categorical data analysis is a special area of generalised linear models, which has become the most important area of statistical applications in many disciplines, from medicine to social sciences. This text presents the standard models and many newly developed ones in a language which can be immediately applied in many modern statistical packages such as GLIM, GENSTAT, S-Plus, as well as SAS and LISP-STAT. The book is structure around the distinction between independent events occurring to different individuals, resulting in frequencies, and repeated events occurring to the same individuals, yielding counts. The book demonstates that much of modern statistics can be seen as special cases of categorical data models; both generalized linear models and proportional hazards models can be fitted as log linear models. More specialized topics such as Markov chains, overdispersion and random effects, are also covered.

Autoren/Hrsg.

Lindsey, J. K.

Fachgebiete

• Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
• Mathematik | Informatik Mathematik Stochastik Wahrscheinlichkeitsrechnung

Inhaltsverzeichnis

- 1: One-way frequency tables

- 2: Larger tables

- 3: Regression models

- 4: Ordinal variables

- 5: Zero frequencies

- 6: Fitting distributions

- 7: Counting processes

- 8: Markov chains

- 9: Structured transition matrices

- 10: Overdispersion and cluster models

- 11: GLIM macros

- Bibliography

- Index