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Nonparametric statistics : theory and methods / Jayant V. Deshpande, Uttara Naik-Nimbalkar and Isha Dewan.

By: Contributor(s): Material type: TextTextPublication details: Singapore : World Scientific, ©2018.Description: xii, 266 pages : illustrations ; 24 cmISBN:
  • 9789814663571 (hardcover : alk. paper)
Subject(s): DDC classification:
  • 000SA.12 23 D456
Contents:
1. Principles of statistical inference -- 2. Order statistics -- 3. Empirical distribution function -- 4. The goodness of fit problem -- 5. The one sample problem -- 6. Optimal nonparametric tests -- 7. The two sample problem -- 8. The several sample problem -- 9. Tests for independence -- 10. Nonparametric density estimation -- 11. Regression analysis -- 12. Nonparametric Bayesian methods -- Appendix.
Summary: The number of books on Nonparametric Methodology is quite small as compared to, say, on Design of Experiments, Regression Analysis, Multivariate Analysis, etc. Because of being perceived as less effective, nonparametric methods are still the second choice. Actually, it has been demonstrated time and again that they are useful. We feel that there is still need for proper texts/applications/reference books on Nonparametric Methodology.This book will introduce various types of data encountered in practice and suggest the appropriate nonparametric methods, discuss their properties through null and non-null distributions whenever possible and demonstrate the very minor loss in power and efficiency in the nonparametric method, if any.The book will cover almost all topics of current interest such as bootstrapping, ranked set sampling, techniques for censored data and Bayesian analysis under nonparametric set ups.
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Books ISI Library, Kolkata 000SA.12 D456 (Browse shelf(Opens below)) Available 138318
Total holds: 0

Includes bibliographical references and index.

1. Principles of statistical inference --
2. Order statistics --
3. Empirical distribution function --
4. The goodness of fit problem --
5. The one sample problem --
6. Optimal nonparametric tests --
7. The two sample problem --
8. The several sample problem --
9. Tests for independence --
10. Nonparametric density estimation --
11. Regression analysis --
12. Nonparametric Bayesian methods --
Appendix.

The number of books on Nonparametric Methodology is quite small as compared to, say, on Design of Experiments, Regression Analysis, Multivariate Analysis, etc. Because of being perceived as less effective, nonparametric methods are still the second choice. Actually, it has been demonstrated time and again that they are useful. We feel that there is still need for proper texts/applications/reference books on Nonparametric Methodology.This book will introduce various types of data encountered in practice and suggest the appropriate nonparametric methods, discuss their properties through null and non-null distributions whenever possible and demonstrate the very minor loss in power and efficiency in the nonparametric method, if any.The book will cover almost all topics of current interest such as bootstrapping, ranked set sampling, techniques for censored data and Bayesian analysis under nonparametric set ups.

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