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Nonparametric statistics for the behavioral sciences by Sidney Siegel

Nonparametric statistics for the behavioral sciences Sidney Siegel ebook
Page: 332
Publisher: McGraw-Hill
Format: pdf
ISBN: 9780070573,

Nonparametric statistics for the behavioral sciences. In non-parametric function estimation, providing a confidence band with the right coverage is a challenging problem. This is the revision of the classic text in the field, adding two new chapters and thoroughly updating all others. This is especially the case when the underlying function has a wide range of unknown degrees of smoothness. In 'Soils: an Australian Viewpoint'. 1 School of Life Sciences, Faculty of Science, Kingston University, Penrhyn Road, Kingston upon Thames, Surrey, KT1 2EE, UK. Statistical Cohen J: Statistical Power Analysis for the Behavioral Sciences. Dynamics and fauna of the litter layers. Nonparametric statistics for the social sciences, (2nd ed.). If you think it is appropriate to treat your categories as continuous, a good candidate would be one of the variations of the intra-class correlation coefficient. Alternatives might either rely on using non-parametric statistical tests or only on comparing the confidence intervals without any statistical tests [5]. Retrieved November 23, 2005, from http://www12.statcan.ca/english/census01/home/Index.cfm. If it's ordinal, Siegel and Castellan's Nonparametic Statistics for the Behavioral Sciences has a whole chapter on measures of association for ordinal data. The original structure is retained, and the book continues to serve as a combined text/reference. Cohen J: Statistical power analysis for the behavioral sciences. 'Nonparametric Statistics for the Behavioral Sciences.' (McGraw-Hill: New York.) Spain, A.