Buch, Englisch, Band 15, 300 Seiten, laminated boards, Format (B × H): 157 mm x 235 mm, Gewicht: 647 g
Buch, Englisch, Band 15, 300 Seiten, laminated boards, Format (B × H): 157 mm x 235 mm, Gewicht: 647 g
Reihe: Oxford Statistical Science Series
ISBN: 978-0-19-852331-4
Verlag: OUP Oxford
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.
Lindsey presents a complete range of material on this subject which can be immediately used with the major statistical packages. The important distinctions between independent and dependent events - frequencies and counts - structures the book. Many of the important areas of modern statistics from generalized linear models to survival analysis are demonstrated to be special cases of categorical data analysis.
