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Nonparametric statistics for the behavioral sciences by Sidney Siegel

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

Document Type: Research Affiliations: 1: Department of Methodology and Statistics, Faculty of Social and Behavioral Sciences, Tilburg University, 5000 LE, Tilburg, The Netherlands, Email: a.vdark@uvt.nl 2: London School of Economics, London, UK. Keywords: Latent trait; monotone likelihood ratio; nonparametric item response theory; ordinal measurement; polytomous item response theory; polytomous items; stochastic ordering; total test score. Frequently, these statistical methods model the data in the form of analysis of variance (ANOVA), or use methods often regarded as their non-parametric equivalents. For example, all traditional methods of statistical process control, Shewhart control charts, CUSUM charts, and EWMA charts assume that the observations are independent, and that the statistic of interest is normally distributed. Wallnau, Mathematics Books - Blackwell Online Bookshop. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL. Siegel S, Castellan NJ: Nonparametric Statistics for the Behavioral Sciences. 2 Genome Exploration Research Group (Genome Network Project Core Group), RIKEN Genomic Sciences Center (GSC), RIKEN Yokohama Institute, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama, Kanagawa, 230-0045, Japan. In non-parametric function estimation, providing a confidence band with the right coverage is a challenging problem. Statistics for the Behavioral Sciences, Frederick J. Gravetter FJ, Wallnau LB (2009) Statistics for the behavioral sciences. 3 Institute for Molecular Bioscience, University of Queensland, 306 Carmody Road, .. This is especially the case when the underlying function has a wide range of unknown degrees of smoothness. Offers an introduction to statistics for students in the behavioral and social sciences.