Analyzing and Modeling Rank Data (Chapman & Hall/CRC Monographs on Statistics & Applied Probability 64)

Analyzing and Modeling Rank Data (Chapman & Hall/CRC Monographs on Statistics & Applied Probability 64)

By: John I. Marden (author)Hardback

More than 4 weeks availability

£99.00 With FREE Saver Delivery


This book 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. 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.

Create a review


Introduction Looking at data Formal tests of uniformity: summary statistics and distances Comparing several samples Overview of models Some axiomatics Likelihood methods and exponential families Distance-based models Appendix

Product Details

  • publication date: 01/08/1996
  • ISBN13: 9780412995217
  • Format: Hardback
  • Number Of Pages: 320
  • ID: 9780412995217
  • weight: 561
  • ISBN10: 0412995212

Delivery Information

  • Saver Delivery: Yes
  • 1st Class Delivery: Yes
  • Courier Delivery: Yes
  • Store Delivery: Yes

Prices are for internet purchases only. Prices and availability in WHSmith Stores may vary significantly