Nonparametrics for Sensory Science: A More Informative Approach

*Complements existing parametric methodology
*Problems considered include the most commonly occurring and important experimental designs: the one-sample, k-sample, blocked samples, samples with factorial structure and samples with correlation structure
*Outlines innovative new techniques and complements with real examples.
*Intended for sensory scientists and statisticians interested in nonparametrics, the techniques of Nonparametrics for Sensory Science are of broad general interest, but are of particular interest in sensory evaluation applications.