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Applied Nonparametric Statistical Methods, Third Edition

By Peter Sprent, Nigel C. Smeeton

Series Editor: Chris Chatfield, Jim Zidek

Chapman and Hall/CRC – 2000 – 480 pages

Series: Chapman & Hall/CRC Texts in Statistical Science

Purchasing Options:

  • Hardback:
    978-1-58488-145-2
    September 6th 2000
    Out-of-print

Description

This new edition follows the basic easy-to-digest pattern that was so well received by users of the earlier editions. The authors substantially update and expand Applied Nonparametric Statistical Methods to reflect changing attitudes towards applied statistics, new developments, and the impact of more widely available and better statistical software.

The book takes into account computing developments since the publication of the popular Second Edition, rearranging the material in a more logical order, and introducing new topics. It emphasizes better use of significance tests and focuses greater attention on medical and dental applications. Applied Nonparametric Statistical Methods: Third Edition explains the rationale of procedures with a minimum of mathematical detail, making it not only an outstanding textbook, but also an up-to-date reference for professionals who do their own statistical analyses.

New in the Third Edition:

  • Expanded coverage of topics - such as ethical considerations and calculation of power and of sample sizes needed

  • Refers to a wide variety of statistical packages - such as StatXact, Minitab, Testimate, S-plus, Stata, and SPSS

  • Includes sections on the analysis of angular data, the use of capture-recapture methods, the measurement of agreement between observers, runs tests, and regression diagnostics.
  • Reviews

    "Strengths of this text certainly include its organization and writing style. Applied Nonparametric Statistical Methods provides a very clear exposition of modern nonparametric methods. Many students and practitioners will find it an excellent resource and reference for nonparametric statistics."

    -Technometrics, 2003

    "… extremely valuable for statisticians as well as for researchers in applied fields. … This well-written book is highly recommended for those readers who want to get a feeling for the nonparametric methods which they apply when analyzing their data."

    - Edgar Brunner, in Statistics in Medicine, 2004

    About the Second Edition…

    "Nicely laid out for practitioners with minimal theory, very deliberate explanations, and lots of illustrations."

    -Technometrics

    "This is the third edition of a very good book on nonparametric statistics…goes far beyond being a compendium of useful methods. It aims at promoting understanding as well. Good statistical practice is exemplified throughout… Particularly commendable are their discussions of multiple comparisons and conditioning in the two by two contingency table… If I could only have one book on nonparametric methods, this would be my choice. It is highly recommended."

    -Short Book Reviews of the ISI, Vol. 21, No. 2, August, 2001

    Contents

    PREFACE

    INTRODUCING NONPARAMETRIC METHODS

    Basic Statistics

    Samples and Populations

    Hypothesis Tests

    Estimation

    Ethical Issues

    Computers and Nonparametric Methods

    Further Reading

    CENTRALITY INFERENCE FOR SINGLE SAMPLES

    Using Measurement Data

    Inferences about Medians Based on Ranks

    The Sign Test

    Transformation of Ranks

    Asymptotic Results

    Robustness

    OTHER SINGLE-SAMPLE INFERENCE

    Inferences for Dichotomous Data

    Tests Related to the Sign Test

    Matching Samples to Distributions

    Angular Data

    A Runs Test for Randomness

    METHODS FOR PAIRED SAMPLES

    Comparisons in Pairs

    A Less Obvious Use of the Sign Test

    Power and Sample Size

    METHODS FOR TWO INDEPENDENT SAMPLES

    Centrality Tests and Estimates

    Rank Based Tests

    The Median Test

    Normal Scores

    Tests for Survival Data

    Asymptotic Approximation

    Power and Sample Size

    Tests for Equality of Variance

    Tests for a Common Distribution

    THREE OR MORE SAMPLES

    Comparisons with Parametric Methods

    Centrality Tests for Independent Samples

    Centrality Tests for Related Samples

    More Detailed Treatment Comparisons

    Tests for Heterogeneity of Variance

    Some Miscellaneous

    Considerations

    CORRELATION AND CONCORDANCE

    Correlation and Bivariate Data

    Ranked Data for Several Variables

    Agreement

    REGRESSION

    Bivariate Linear Regression

    Multiple Regression

    Nonparametric Regression Models

    Other Multivariate Data Problems

    CATEGORICAL DATA

    Categories and Counts

    Nominal Attribute Categories

    Ordered Categorical Data

    Goodness-of-Fit Tests for Discrete Data

    Extension of McNemar's

    Test

    ASSOCIATION IN CATEGORICAL DATA

    The Analysis of Association

    Some Models for Contingency Tables

    Combining and Partitioning of Tables

    Power

    ROBUST ESTIMATION

    When Assumptions Break Down

    Outliers and Influence

    The Bootstrap

    M-Estimators and Other Robust Estimators

    APPENDIX

    REFERENCES

    SO

    Name: Applied Nonparametric Statistical Methods, Third Edition (eBook)Chapman and Hall/CRC 
    Description: By Peter Sprent, Nigel C. SmeetonSeries Editor: Chris Chatfield, Jim Zidek. This new edition follows the basic easy-to-digest pattern that was so well received by users of the earlier editions. The authors substantially update and expand Applied Nonparametric Statistical Methods to reflect changing attitudes towards applied...
    Categories: Statistical Theory & Methods, Statistics for the Biological Sciences