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OverviewThis 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. Full Product DetailsAuthor: John I Marden , D.R. Cox (Nuffield College, Oxford University, UK) , N. Reid (University of Toronto, Ontario, Canada) , Valerie IshamPublisher: Taylor & Francis Ltd Imprint: Chapman & Hall/CRC Volume: 64 Dimensions: Width: 15.20cm , Height: 2.80cm , Length: 22.90cm Weight: 0.562kg ISBN: 9780412995217ISBN 10: 0412995212 Pages: 344 Publication Date: 01 August 1996 Audience: College/higher education , Professional and scholarly , Postgraduate, Research & Scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: In Print ![]() This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsIntroduction, 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, AppendixReviewsAuthor InformationJohn I Marden University of Illinois, Champaign, USA Tab Content 6Author Website:Countries AvailableAll regions |