Nonparametrics for Sensory Science - Rayner, J C W; Best, D J; Brockhoff, Per Bruun; Rayner, G D
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Author Rayner and his colleagues consider problems including the most commonly occurring and important experimental designs: the one-sample, k-sample, blocked samples, samples with factorial structure and samples with correlation structure. Innovative new techniques are outlined and complemented with real examples. Techniques described may be applied to data where the traditional, most frequently applied nonparametric tests, such as the Kruskal-Wallis, the Friedman and the Spearman tests, are applied.

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Produktbeschreibung
Author Rayner and his colleagues consider problems including the most commonly occurring and important experimental designs: the one-sample, k-sample, blocked samples, samples with factorial structure and samples with correlation structure. Innovative new techniques are outlined and complemented with real examples. Techniques described may be applied to data where the traditional, most frequently applied nonparametric tests, such as the Kruskal-Wallis, the Friedman and the Spearman tests, are applied.
Autorenporträt
J.C.W. RAYNER, Ph.D. is associate professor in the School of Mathematics and Applied Statistics at the University of Wollongong, Australia. D.J. BEST, Ph.D. is former principal research scientist at CSIRO Division of Food Research and is now principal research fellow in the School of Mathematics and Applied Statistics at the University of Wollongong, Australia. P.B. BROCKHOFF, Ph.D. is professor of Informatics and Mathematical Modelling at the Technical University of Denmark. G.D. RAYNER, Ph.D.is a fellow of the University of Wollongong, Australia.