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2014,Nonparametric Statistical Methods (3rd Edition) pdf by Myles Hollander

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    Written by leading statisticians, Nonparametric Statistical Methods, Third Edition provides readers with crucial nonparametric techniques in a variety of settings, emphasizing the assumptions underlying the methods. The book provides an extensive array of examples that clearly illustrate how to use nonparametric approaches for handling one- or two-sample location and dispersion problems, dichotomous data, and one-way and two-way layout problems. In addition, the Third Edition features:

    The use of the freely available R software to aid in computation and simulation, including many new R programs written explicitly for this new edition
    New chapters that address density estimation, wavelets, smoothing, ranked set sampling, and Bayesian nonparametrics
    Problems that illustrate examples from agricultural science, astronomy, biology, criminology, education, engineering, environmental science, geology, home economics, medicine, oceanography, physics, psychology, sociology, and space science


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    2015-4-22 08:23
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