
Nonparametric Techniques in Statistical Inference
Madan Lal Puri(Author)
Cambridge University Press
Published on 8. January 2009
Book
Paperback/Softback
640 pages
978-0-521-09305-7 (ISBN)
Description
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.
More details
Language
English
Place of publication
Cambridge
United Kingdom
Target group
Professional and scholarly
College/higher education
Product notice
Paperback (trade)
Illustrations
Worked examples or Exercises
Dimensions
Height: 229 mm
Width: 152 mm
Thickness: 37 mm
Weight
1024 gr
ISBN-13
978-0-521-09305-7 (9780521093057)
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Schweitzer Classification
Other editions
Additional editions
Madan Lal Puri
Nonparametric Techniques in Statistical Inference
Book
11/1970
Cambridge University Press
€92.85
Article exhausted; check for reprint
Previous edition
Madan Lal Puri
Nonparametric Techniques in Statistical Inference
Book
11/1970
Cambridge University Press
€92.85
Article exhausted; check for reprint
Content
1. Testing and Estimation 1; 2. Testing and Estimation 2; 3. Order Statistics and Allied Problems; 4. General Theory; 5. Ranking and Selection Procedures; 6. Decision Theoretic and Empirical Bayes Procedures; 7. Teaching of Nonparametric Statistics.