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OverviewData Driven Statistical Methods is designed for use either as a text book at the undergraduate level, as a source book providing material and suggestions for teachers wishing to incorporate some of its features into more general courses, and also as a self-instruction manual for applied statisticians seeking a simple introduction to many important practical concepts that use the 'data driven' rather than the 'model driven' approach. Full Product DetailsAuthor: Peter Sprent , Jim Zidek , Jim Zidek (University of British Columbia, Vancouver, Canada) , Jim Lindsey (University of Liege, Liege, Belgium)Publisher: Taylor & Francis Ltd Imprint: Chapman & Hall/CRC Volume: 43 Dimensions: Width: 15.60cm , Height: 2.50cm , Length: 23.40cm Weight: 0.657kg ISBN: 9780412795404ISBN 10: 041279540 Pages: 416 Publication Date: 01 December 1997 Audience: College/higher education , Professional and scholarly , Undergraduate , Postgraduate, Research & Scholarly 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 ContentsReviewsThis scholarly book brings together a vast literature on methods for analyzing and modeling rank data...it is a mathematical statistics book in the best sense of the word... - Short Books Reviews of the ISI Author InformationPeter Sprent is Emeritus Professor of Statistics at the University of Dundee in Scotland. Tab Content 6Author Website:Countries AvailableAll regions |
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