Modelling Frequency and Count Data (Hardcover)

Hardcover. 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 betweenindependent 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 statisticscan 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 material which can be used with the major statistical packages. The distinctions between independent and dependent events - frequencies and counts - structures the book. Many areas of modern statistics from generalized linear models to survival analysis are demonstrated to be special cases of categorical data analysis. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…