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Nonparametric statistics for the behavioral sciences Sidney Siegel
Publisher: McGraw-Hill

Siegel, Sidney (1956), Nonparametric Statistics For The Behavioral Sciences, Mc Graw- Hill Book Company, İnc, Newyork. Wong (1992) called the common language effect size statistic, is insensitive to base rates and more robust to several other factors (e.g., extreme scores, nonlinear transformations). The objective of this paper is to demonstrate how nonparametric statistical methods can be simply applied to data likely to result from plant disease experiments. Stephens (1999), İstatistik, (Çev. Cohen J: Statistical power analysis for the behavioral sciences. 1 School of Life Sciences, Faculty of Science, Kingston University, Penrhyn Road, Kingston upon Thames, Surrey, KT1 2EE, UK. Nonparametric statistics for the behavioral sciences. The probability-based measure A, the nonparametric generalization of what K. Journal of the American Statistical Association, 76, 162-168. Retrieved November 23, 2005, from http://www12.statcan.ca/english/census01/home/Index.cfm. Statistical power analysis for the behavioral sciences (2nd ed.). Lubomir Kostal and Ondrej Pokora*. Encyclopedia of Statistics in Behavioral Science – Volume 2 Brian Everitt (Editor) wiley 2005. Nonparametric Estimation of Information-Based Measures of Statistical Dispersion. Handbook of parametric and nonparametric statistical procedures, 3rd edition David J. Dominance statistics: Ordinal analyses to answer ordinal questions.