Read Probability Models and Statistical Analyses for Ranking Data (Lecture Notes in Statistics, 80)

Probability Models and Statistical Analyses for Ranking Data (Lecture Notes in Statistics, 80)

Unknown Author

4.9/5 (13475 ratings)

Description:This book of edited contributions 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. The papers cover the following topics: basic models and mixture models; inference from full and partial rankings; amalgamation and consensus; and paired ranking and unfolding. A foreward by Persi Diaconis draws together some of the mathematical ideas underlying this subject and explores its links with the statistical analysis of permutations.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Probability Models and Statistical Analyses for Ranking Data (Lecture Notes in Statistics, 80). To get started finding Probability Models and Statistical Analyses for Ranking Data (Lecture Notes in Statistics, 80), you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

Pages: —

Format: PDF, EPUB & Kindle Edition

Publisher: —

Release: —

ISBN: 0387979204

Description: This book of edited contributions 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. The papers cover the following topics: basic models and mixture models; inference from full and partial rankings; amalgamation and consensus; and paired ranking and unfolding. A foreward by Persi Diaconis draws together some of the mathematical ideas underlying this subject and explores its links with the statistical analysis of permutations.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Probability Models and Statistical Analyses for Ranking Data (Lecture Notes in Statistics, 80). To get started finding Probability Models and Statistical Analyses for Ranking Data (Lecture Notes in Statistics, 80), you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

Special Offer | $0.00

Special Offer! | $0.00

Probability Models and Statistical Analyses for Ranking Data (Lecture Notes in Statistics, 80)

Probability Models and Statistical Analyses for Ranking Data (Lecture Notes in Statistics, 80)

More Books