This book of edited papers provides a wide-ranging survey of the use of probability models for ranking data and it introduces new methods for the statistical analysis of ranking data. The contributors are drawn from a variety of fields including psychology, sociology, and the health sciences as well as statistics. Consequently, many researchers whose work involves the study of ranked data will find much of practical interest here.
Michael A. Fligner
ANOVA Likelihood Random variable correlation data analysis expectation–maximization algorithm matching permutations ranking data