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

The probability-based measure A, the nonparametric generalization of what K. Product DescriptionRevision of the classic text in the field, adding two new chapters and thoroughly updating all others. 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). Oxford, England: Clarendon Press. Nonparametric Statistical Inference. The theory of moral sentiments ( D. €� http://biomet.oxfordjournals.org/cgi/reprint/44/3-4/538-a.pdf * pdf. Statistical power analysis for the behavioral sciences (2nd ed.). Nonparametric Statistics for the Behavioral Sciences. Nonparametric statistics for the behavioral sciences (2nd ed.). (Original work pub-lished 1759). London: McGraw-Hill Publishing Co. Dominance statistics: Ordinal analyses to answer ordinal questions. Nonparametric Statistics for the Behavioural Sciences. Journal of the American Statistical Association, 76, 162-168. A standard textbook is 'Nonparametric Statistics for the behavioral sciences' by Sidney Siegel, first published in 1956 by McGraw-Hill Book Co in its Series in Psychology (ISBN 07-057348-4) and revised in 2001.