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Book synopsis

Nonparametric techniques in statistics are those in which the data are ranked in order according to some particular characteristic. When applied to measurable characteristics, the use of such techniques often saves considerable calculation as compared with more formal methods, with only slight loss of accuracy. The field of nonparametric statistics is occupying an increasingly important role in statistical theory as well as in its applications. Nonparametric methods are mathematically elegant, and they also yield significantly improved performances in applications to agriculture, education, biometrics, medicine, communication, economics and industry.

Book details

Book category Books in English Mathematics & science Mathematics Probability & statistics

• Full title: Nonparametric Techniques in Statistical Inference
• Author: Madan Lal Puri
• Language: English
• Binding: Paperback
• Number of pages: 640
• EAN: 9780521093057
• ISBN: 0521093058
• ID: 02021085
• Publisher: Cambridge University Press
• Weight: 930 g
• Dimensions: 229 × 152 × 36 mm
• Date of publishing: 08. January 2009

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