Sprent P., Smeeton N.C. Applied Nonparametric Statistical Methods

Chapman and Hall/CRC, 2001. — 462 p. — (Texts in Statistical Science). — ISBN10: 1584881453.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:oExpanded coverage of topics - such as ethical considerations and calculation of power and of sample sizes neededoRefers to a wide variety of statistical packages - such as StatXact, Minitab, Testimate, S-plus, Stata, and SPSSoIncludes sections on the analysis of angular data, the use of capture-recapture methods, the measurement of agreement between observers, runs tests, and regression diagnostics.Introducing nonparametric methods
Basic statistics
Samples and populations
Hypothesis tests
Estimation
Ethical issues
Computers and nonparametric methods
Further reading
Exercises
Centrality inference for single samples
Using measurement data
Inferences about medians based on ranks
The sign test
Transformation of ranks
Asymptotic results
Robustness
Fields of applicationExercises
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
Fields of applicationExercises
Methods for paired samples
Comparisons in pairs
A less obvious use of the sign test
Power and sample size
Fields of applicationExercises
Methods for two independent samples
Centrality tests and estimates
Rank based tests
The median test
Normal scores
Tests for survival data
Asymptotic approximations
Power and sample size
Tests for equality of variance
Tests for a common distribution
Fields of applicationExercises
Three or more samples
Compaarisons 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
Fields of applicationExercises
Correlation and concordance
Correlation and bivariate data
Ranked data for several variables
Agreement
Fields of applicationExercises
Regression
Bivariate linear regression
Multiple regression
Nonparametric regression models
Other multivariate data problems
Fields of applicationExercises
Categorical data
Categories and counts
Nominal attribute categories
Ordered categorical data
Goodness-of-fit tests for discrete data
Extension of McNernar's test
Fields of applicationExercises
Association in categorical data
The analysis of association
Some models for contingency tables
Combining and partitioning of tables
Power
Fields of applicationExercises
Robust estimation
When assumptions break down
Outliers and influence
The bootstrap
M-estimators and other robust estimators
Fields of applicationExercises