Applied Nonparametric Statistical Methods, Third Edition (Chapman & Hall/CRC Texts in Statistical Science)

Sprent, Peter; Smeeton, Nigel C.

ISBN 10: 1584881453 / ISBN 13: 9781584881452

Editore: Chapman and Hall/CRC, 2000

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Very Good condition. 3rd edition. A copy that may have a few cosmetic defects. May also contain light spine creasing or a few markings such as an owner's name, short gifter's inscription or light stamp.

Codice articolo J12B-02565

Dati bibliografici

• Titolo: Applied Nonparametric Statistical Methods, Third Edition (Chapman & Hall/CRC Texts in Statistical Science)
• Editore: Chapman and Hall/CRC
• Data di pubblicazione: 2000
• Lingua: Inglese
• ISBN 10: 1584881453
• ISBN 13: 9781584881452
• Rilegatura: Brossura
• Edizione: terza edizione
• Condizione: Very Good

Descrizione articolo

Riassunto

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.

Contenuti

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