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OverviewDistribution-free statistical methods enable users to make statistical inferences with minimum assumptions about the population in question. They are widely used, especially in the areas of medical and psychological research.This new edition is aimed at senior undergraduate and graduate level. It also includes a discussion of new techniques that have arisen as a result of improvements in statistical computing. Interest in estimation techniques has particularly grown, and this section of the book has been expanded accordingly. Finally, Distribution-Free Statistical Methods includes more examples with actual data sets appearing in the text. Full Product DetailsAuthor: J.S. Maritz (University of Stellenbosch, SA) , D.R. Cox (Nuffield College, Oxford University, UK) , N. Reid (University of Toronto, Ontario, Canada) , Valerie IshamPublisher: Taylor & Francis Ltd Imprint: Chapman & Hall/CRC Edition: 2nd edition Volume: 17 Dimensions: Width: 13.80cm , Height: 1.70cm , Length: 21.60cm Weight: 0.390kg ISBN: 9780412552601ISBN 10: 0412552604 Pages: 268 Publication Date: 01 April 1995 Audience: Professional and 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 ContentsReviewsIn summary, the book is both readable and informative. It probably covers more material than would normally be included in a standard course on distribution-free methods, but it would be a useful reference for any student following such a course. -The Statistician Author InformationJohannes Maritz is professor in the Department of Statistics , University of Stellenbosch, South Africa. Tab Content 6Author Website:Countries AvailableAll regions |
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