Description
Book SynopsisIn this volume, influential statistician Christopher Lloyd presents a comprehensive, self-contained discussion of the special statistical methods used to analyse and report count data, also known as categorical data. The emphasis here is on modern methods, with some attention paid to traditional methods as well.
Trade Review"In conclusion, were I to teach a course in categorical data analysis, I would select this textbook...I compliment the author on his work. I feel that he has succeeded in meeting his goals." (Technometrics Vol. 42, No. 3 August 2000)
The problems at the end of the chapters are appropriate for a course at this level and involve examples that will give the student a feel for the material, and there are also examples with which to work through the mathematics. (Technometrics, August 2000, Vol. 42, No. 3)
Table of ContentsThe Tools of Statistical Inference.
Distribution Theory for Count Data.
Binary Contingency Tables.
Binomial Regression Models.
Smoothing Binomial Data.
Poisson Regression Models.
Conditional Inference.
Index.
