Distribution-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.
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Johannes Maritz is a professor in the Department of Statistics, University of Stellenbosch, South Africa.Review:
"In 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
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Book Description Chapman and Hall/CRC, 1995. Hardcover. Book Condition: New. Never used!. Bookseller Inventory # P110412552604
Book Description Chapman and Hall/CRC, 1995. Hardcover. Book Condition: New. book. Bookseller Inventory # M0412552604
Book Description Chapman and Hall/CRC, 1995. HRD. Book Condition: New. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Bookseller Inventory # F9-9780412552601
Book Description Chapman and Hall/CRC, 2017. Hardback. Book Condition: NEW. 9780412552601 This listing is a new book, a title currently in-print which we order directly and immediately from the publisher. Print on Demand title, produced to the highest standard, and there would be a delay in dispatch of around 10 working days. Bookseller Inventory # HTANDREE0247180
Book Description Chapman & Hall, 1995. Hardcover. Book Condition: Brand New. 2nd sub edition. 255 pages. 9.00x5.75x0.75 inches. In Stock. Bookseller Inventory # __0412552604