Analyzing and Modeling Rank Data is the first single-source volume to fully address this prevalent practice in both its analytical and modeling aspects. The information discussed presents the use of data consisting of rankings in such diverse fields as psychology, animal science, educational testing, sociology, economics, and biology.

This book systematically presents the basic models and methods for analyzing data in the form of ranks. Integrating material from a wide range of fields, this book applies graphical, numerical, and modeling techniques to data sets, uncovering fascinating structures in the rank data.

Topics examined include unified treatment of numerical summaries and statistical tests for analyzing and comparing samples; graphical projections for exploring permutation polytypes; extensive coverage of models for rank data; and examples from numerous fields illustrating the use of the techniques.

Providing the most extensive coverage of the subject found in statistical literature, this book will be a welcomed reference to statisticians. In addition, this volume is also accessible to people in all areas of quantitative research. Researchers in psychology and consumer preference will discover a valuable resource; and sociologists, biologists, political and animal scientists will also benefit.

As a text, it will be ideal for graduate students in courses on statistics and other quantitative disciplines.