Inbunden, Engelska, 2010
Choice-Based Conjoint Analysis
Models and Designs
Av Damaraju Raghavarao, James B. Wiley, Pallavi Chitturi
3659 kr
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Beskrivning
Produktinformation
- Utgivningsdatum: 2010-08-03
- Mått: 156 x 234 x 18 mm
- Vikt: 498 g
- Format: Inbunden
- Språk: Engelska
- Antal sidor: 192
- Förlag: Taylor & Francis Ltd
- ISBN: 9781420099966
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Mer information
Damaraju Raghavarao is the Laura H. Carnell professor of statistics and chair of the Department of Statistics at Temple University in Philadelphia, Pennsylvania. Dr. Raghavarao is a fellow of the Institute of Mathematical Statistics and the American Statistical Association as well as an elected member of the International Statistical Institute. He earned his Ph.D. from Bombay University.James B. Wiley is a senior Cochran research fellow in the Department of Marketing and Supply Chain Management and the Department of Statistics at Temple University in Philadelphia, Pennsylvania. Dr. Wiley is also a visiting scholar at the University of Western Sydney. He earned his Ph.D. from the University of Washington.Pallavi Chitturi is an associate professor of statistics at Temple University in Philadelphia, Pennsylvania. Dr. Chitturi’s research encompasses the areas of design of experiments, quality control, and conjoint analysis. She earned her Ph.D. from the University of Texas at Austin.
Recensioner i media
It is a pleasure to review this book … For those already familiar with the subject, the text is well worth adding to their book collection …—Carl M. O’Brien, International Statistical Review, 2012this book is both educational and interesting to read and is suitable for anyone interested in developing a CA/DCE study. The book is unique, particularly in terms of the breadth and depth of information on experimental designs. The authors did an excellent job providing both contextual and technical details in a form that is both engaging and easy to read. The illustrations are easy to follow and relevant to the related content. … a nice addition to the CA/DCE literature and should be useful to researchers and graduate students alike.—Mayukh Dass, Journal of the American Statistical Association, December 2011
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