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Nonparametric Statistics: An Introduction: Quantitative Applications in the Social Sciences, cartea 90

Autor Jean D. Gibbons Fielden
en Limba Engleză Paperback – 23 noi 1992
Through the use of actual research investigations that have appeared in recent social science journals, Gibbons shows the reader the specific methodology and logical rationale for many of the best-known and most frequently used nonparametric methods that are applicable to most small and large sample sizes. The methods are organized according to the type of sample structure that produced the data to be analyzed, and the inference types covered are limited to location tests, such as the sign test, the Mann-Whitney-Wilcoxon test, the Kruskal-Wallis test and Friedman's test. The formal introduction of each test is followed by a data example, calculated first by hand and then by computer.
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Specificații

ISBN-13: 9780803939516
ISBN-10: 0803939515
Pagini: 96
Ilustrații: 1
Dimensiuni: 140 x 216 x 10 mm
Greutate: 0.14 kg
Ediția:1
Editura: SAGE Publications
Colecția Sage Publications, Inc
Seria Quantitative Applications in the Social Sciences

Locul publicării:Thousand Oaks, United States

Cuprins

Introduction
Location Tests for Single and Paired Samples (Sign Test and Wilcoxon Signed Rank Test)
Confidence Interval Estimates of the Median and Median Difference for Single and Paired Samples
Location Tests and Confidence Intervals for Two Independent Samples (Mann-Whitney-Wilcoxon Test)
Location Tests and Multiple Comparisons for k>3 Mutually Independent Samples (Kruskal-Wallis Test)
Location Tests and Multiple Comparisons for k>3 Related Samples (Friedman's Test)
Summary

Notă biografică


Descriere

Through the use of actual research investigations that have appeared in recent social science journals, Gibbons shows the reader the specific methodology and logical rationale for many of the best-known and most frequently used nonparametric methods that are applicable to most small and large sample sizes. The methods are organized according to the type of sample structure that produced the data to be analyzed, and the inference types covered are limited to location tests, such as the sign test, the Mann-Whitney-Wilcoxon test, the Kruskal-Wallis test and Friedman's test. The formal introduction of each test is followed by a data example, calculated first by hand and then by computer.