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Nonparametric Techniques in Statistical Inference

Nonparametric Techniques in Statistical Inference

Paperback (01 Aug 2009)

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Publisher's 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.

About the Publisher

Cambridge University Press

Cambridge University Press dates from 1534 and is part of the University of Cambridge. We further the University's mission by disseminating knowledge in the pursuit of education, learning and research at the highest international levels of excellence.

Book information

ISBN: 9780521093057
Publisher: Cambridge University Press
Imprint: Cambridge University Press
Pub date:
DEWEY: 519
DEWEY edition: 22
Language: English
Number of pages: 637
Weight: 930g
Height: 229mm
Width: 152mm
Spine width: 36mm
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