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Nonparametric Inference / Z. Govindarajulu.

By: Material type: TextTextPublication details: Singapore ; Hackensack, NJ : World Scientific, ©2007.Description: 1 online resource (xxi, 669 pages)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9789812770400
  • 9812770402
  • 1281121096
  • 9781281121097
Subject(s): Genre/Form: Additional physical formats: Print version:: Nonparametric Inference.DDC classification:
  • 519.5 22
LOC classification:
  • QA278.8 .G68 2007eb
Online resources:
Contents:
Preface; Acknowledgements; Contents; List of Tables; 1 Statistical Terminology; 2 Order Statistics; 3 Ordered Least Squares Estimators; 4 Interval Estimation and Tolerance Limits; 5 Nonparametric Estimation; 6 Estimation of Density Functions; 7 Review of Parametric Testing; 8 Goodness of Fit Tests; 9 Randomness Tests Based on Runs; 10 Permutation Tests; 11 Rank Order Tests; 12 LMP Tests: Two-sample Case; 13 One-sample Rank Order Tests; 14 Asymptotic Relative Efficiency; 15 LMP Tests for Independence; 16 c-sample Rank Order Tests; 17 c-sample Tests for Scale.
Summary: This book provides a solid foundation on nonparametric inference for students taking a graduate course in nonparametric statistics and serves as an easily accessible source for researchers in the area. With the exception of some sections requiring familiarity with measure theory, readers with an advanced calculus background will be comfortable with the material.
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Includes bibliographical references (pages 619-652) and indexes.

Print version record.

Preface; Acknowledgements; Contents; List of Tables; 1 Statistical Terminology; 2 Order Statistics; 3 Ordered Least Squares Estimators; 4 Interval Estimation and Tolerance Limits; 5 Nonparametric Estimation; 6 Estimation of Density Functions; 7 Review of Parametric Testing; 8 Goodness of Fit Tests; 9 Randomness Tests Based on Runs; 10 Permutation Tests; 11 Rank Order Tests; 12 LMP Tests: Two-sample Case; 13 One-sample Rank Order Tests; 14 Asymptotic Relative Efficiency; 15 LMP Tests for Independence; 16 c-sample Rank Order Tests; 17 c-sample Tests for Scale.

This book provides a solid foundation on nonparametric inference for students taking a graduate course in nonparametric statistics and serves as an easily accessible source for researchers in the area. With the exception of some sections requiring familiarity with measure theory, readers with an advanced calculus background will be comfortable with the material.

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