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Mathematical statistics --- Biometry --- Statistics --- Nonparametric statistics --- Statistique non-paramétrique --- 10.02.b --- Distribution-free statistics --- Statistics, Distribution-free --- Statistics, Nonparametric --- Statistieken ; Wiskundige statistiek --- Nonparametric statistics. --- Statistique non-paramétrique --- Biometry. --- Statistique non paramétrique
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Mathematical statistics --- Nonparametric statistics --- Statistique non-paramétrique --- 519.234 --- Distribution-free statistics --- Statistics, Distribution-free --- Statistics, Nonparametric --- Non-parametric methods --- Nonparametric statistics. --- 519.234 Non-parametric methods --- Statistique non-paramétrique
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In this third edition we have improved the eleven chapters of the second edition and added five new chapters. Also organized all of the R programs used in this third edition into a documented collection that is formally registered as an R package specifically linked to this third edition. Written by leading statisticians, this new edition has been completely updated to include additional modern topics and procedures, more real-world data sets, and more problems from real-life situations. Incorporating the R software program, this user-friendly book provides readers with an arsenal of nonparametric techniques, helping them develop the insight needed to choose appropriate procedures for various situations. It features five new chapters with added-on topics including Density Estimation, Kernel Regression, Nonparametric Regression, Ranked-Set Sampling, and Bayesian Nonparametrics.
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