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

Nonparametric statistics for the behavioral sciences (2nd ed.). All trials have to enter/transfer their data at some point into an electronic database or file for .. Lubomir Kostal and Ondrej Pokora*. Snedcor WG, Cochron WG: Statistical methods. Nonparametric Statistics for the Behavioral Sciences. This is especially the case when the underlying function has a wide range of unknown degrees of smoothness. IOWA State University Press, Ames; 1980. 1Science and Engineering, University of Nottingham Ningbo, 199 Taikang East Road, Ningbo 315100, China 2Loughborough .. We define a minimum set of features as allowing trial sites to submit data electronically into the central database and to be able to query that central database for reports and aggregate statistics. Salvucci, “Predicting the effects of in-car interfaces on driver behavior using a cognitive architecture,” in Proceedings of the Conference on Human Factors in Computing Systems (CHI '01), pp. Siegel S, Castellan J: Nonparametric statistics for the behavioral sciences. In non-parametric function estimation, providing a confidence band with the right coverage is a challenging problem. Nonparametric Estimation of Information-Based Measures of Statistical Dispersion. For quantitative data, Friedman nonparametric tests for three related samples were calculated for the main within- subjects factors. [CrossRef]; ‎Siegel S, Castellan J. 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.