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Applied Nonparametric Statistics Paperback – June 30, 2000

ISBN-13: 978-0534381943 ISBN-10: 0534381944 Edition: 2nd

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1. INTRODUCTION AND REVIEW Some important terminology / Hypothesis testing / Estimation / Measurement scales / Nonparametric statistics / Availability and use of computer programs in nonparametric statistical analysis / Scope of this book / Format and organization / References 2. PROCEDURES THAT UTILIZE DATA FROM A SINGLE SAMPLE Making inferences about a location parameter / Making inferences about a population proportion / One-sample runs test for randomness / Cox-Stuart test for trend / Computer programs / Review exercises / References 3. PROCEDURES THAT UTILIZE DATA FROM TWO INDEPENDENT SAMPLES Making inferences about the difference between two location parameters / Making inferences about the equality of two dispersion parameters / Some miscellaneous two-sample tests / Computer programs / Review exercises / References 4. PROCEDURES THAT UTILIZE DATA FROM TWO RELATED SAMPLES Procedures for testing hypotheses about location parameters / Confidence interval procedures for the median difference / Test for two related samples when data consist of frequencies / Computer programs / Review exercises / References 5. CHI-SQUARE TESTS OF INDEPENDENCE AND HOMOGENEITY Mathematical properties of the chi-square distribution / Chi-Square test of independence / Chi-square test of homogeneity / Miscellany / Computer programs / Review exercises / References 6. PROCEDURES THAT UTILIZE DATA FROM THREE OR MORE INDEPENDENT SAMPLES Extension of the median test / Kruskal-Wallis one-way analysis of variance by ranks / Jonckheere-Terpstra test for ordered alternatives / Multiple comparisons / Computer programs / Review exercises / References 7. PROCEDURES THAT UTILIZE DATA FROM THREE OR MORE RELATED SAMPLES Friedman two-way analysis of variance by ranks / Multiple-comparison procedure for use with Friedman test / Page's test for ordered alternatives / Durbin test for incomplete block designs / Cochran's test for related observations / Computer programs / Review exercises / References 8. GOODNESS-OF-FIT TESTS Chi-square goodness-of-it test / Kolmogorov-Smirnov one-sample test / Kolmogorov-Smirnov two-sample test / Confidence band for the population distribution function / Chi-square and Kolmogorov-Smirnov goodness-of-fit tests: a comparison / Other goodness-of-fit tests / Computer programs / Review exercises / References 9. RANK CORRELATION AND OTHER MEASURES OF ASSOCIATION Spearman rank correlation coefficient / Kendall's tau / Confidence interval for tau / Olmstead-Tukey corner test of association / Kendall's coefficient of concordance W / Partial rank correlation / Measures of association for contingency tables / Other measures of association / Computer programs / Review exercises / References 10. SIMPLE LINEAR REGRESSION ANALYSIS Fitting the Regression Line / Testing the hypothesis about alpha and beta / Confidence interval for slope coefficient / Test for parallelism of two regression lines / Estimator and confidence interval for difference between slope parameters / Computer programs / Review exercises / References / APPENDIX: TABLES / SOLUTIONS TO ODD-NUMBERED EXERCISES / INDEX
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Product Details

  • Paperback: 656 pages
  • Publisher: Cengage Learning; 2 edition (June 30, 2000)
  • Language: English
  • ISBN-10: 0534381944
  • ISBN-13: 978-0534381943
  • Product Dimensions: 1 x 7.2 x 9 inches
  • Shipping Weight: 2.2 pounds (View shipping rates and policies)
  • Average Customer Review: 4.7 out of 5 stars  See all reviews (6 customer reviews)
  • Amazon Best Sellers Rank: #327,193 in Books (See Top 100 in Books)

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By Jaeyun Lee on October 12, 2014
Format: Paperback Verified Purchase
good
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0 of 1 people found the following review helpful By amanda on December 11, 2010
Format: Paperback
the book did not arrive on time because of UPS and the seller promptly mailed sent out another in excellent condition
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0 of 2 people found the following review helpful By findingmulder on July 30, 2010
Format: Paperback Verified Purchase
I like the book. For the most part it's very clear. As a social scientist, I'd love to see more of those types of examples, but for anyone generally interested in stats, it's good to have in your library. I held onto mine after my class.
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