applied nonparametric statistics daniel free

%0 Ekonometri ve İstatistik e-Dergisi STATISTICAL POWER COMPARISONS FOR EQUAL SKEWNESS DIFFERENT KURTOSIS AND EQUAL KURTOSIS DIFFERENT SKEWNESS COEFFICIENTS IN NONPARAMETRIC TESTS N1 - DO - T2 - Istanbul University Econometrics and Statistics e-Journal T1 - STATISTICAL POWER COMPARISONS FOR EQUAL SKEWNESS DIFFERENT KURTOSIS AND EQUAL KURTOSIS DIFFERENT SKEWNESS COEFFICIENTS IN NONPARAMETRIC TESTS 'STATISTICAL POWER COMPARISONS FOR EQUAL SKEWNESS DIFFERENT KURTOSIS AND EQUAL KURTOSIS DIFFERENT SKEWNESS COEFFICIENTS IN NONPARAMETRIC TESTS'. Istanbul University Econometrics and Statistics e-Journal 0 (2014 'STATISTICAL POWER COMPARISONS FOR EQUAL SKEWNESS DIFFERENT KURTOSIS AND EQUAL KURTOSIS DIFFERENT SKEWNESS COEFFICIENTS IN NONPARAMETRIC TESTS' Istanbul University Econometrics and Statistics e-Journal STATISTICAL POWER COMPARISONS FOR EQUAL SKEWNESS DIFFERENT KURTOSIS AND EQUAL KURTOSIS DIFFERENT SKEWNESS COEFFICIENTS IN NONPARAMETRIC TESTS The results of the analyses revealed that Mann-Whitney test is more powerful between small and equal sample sizes of 4 to 10, and Kolmogorov-Smirnov two-sample test is more powerful between small and equal sample sizes of 12 to 20 Also, equal sample sizes of 4, 5, 8, 10, 12, 15, 16 and 20 are used as small and equal sample sizes. Variances are assumed as heterogeneous for both situations and variance ratios 2, 3, 4, 1/2, 1/3 and 1/4 are used. In this study, the statistical powers of these two tests are compared by analyzing the change in kurtosis coefficients under the assumption of equal skewness coefficients and analyzing the change in skewness coefficients under the assumption of equal kurtosis coefficients. Both Mann-Whitney and Kolmogorov-Smirnov two-sample tests are nonparametric statistics tests which are used to determine whether independent two-sample belongs to the same or similar populations.

Mann-Whitney and Kolmogorov-Smirnov two-sample tests are the most appropriate tests when the data, which are obtained from independent two-sample, are asked for testing by the help of nonparametric tests. Inflation of type I error rates by unequal variance associated with parametric, nonparametric, and rank-transformation tests. Dictionary of statistics and methodology: A nontechnical guide for the social sciences (3 ed.). Nonparametric statistics for the behavioral sciences (2 ed.). Handbook of parametric and nonparametric statistical procedures. Monterey, CA: Brooks/Cole Publishing Company. Nonparametric and distribution-free methods for social science. Comparing the powers of the Wald-Wolfowitz and Kolmogorov-Smirnov tests. Unpublished doctoral dissertation, Faculty of the Graduate College of the Oklahoma State University, Stillwater.

A Monte Carlo study of two nonparametric statistics with comparisons of type I error rates and power. Parametrik Olmayan Yöntemler: SPSS Uygulamalı. The Cambridge dictionary of statistics (3 ed.). Applied nonparametric statistics (2 ed.). Practical nonparametric statistics (3 ed.). Hoboken, New Jersey: A John Wiley & Sons, Inc. Journal of Educational Statistics, 14(4), 373-384. Type I error rates and power estimates for selected two-sample tests of scale.

Applied nonparametric statistics daniel free