Cover image for Nonparametric statistics with applications to science and engineering with R
Title:
Nonparametric statistics with applications to science and engineering with R
Author:
Kvam, Paul H., 1962- author.
ISBN:
9781119268178
Edition:
Second edition.
Physical Description:
1 online resource : illustrations (some color).
Series:
Wiley series in probability and statistics

Wiley series in probability and statistics.
Contents:
Introduction -- Probability basics -- Statistics basics -- Bayesian statistics -- Order statistics -- Goodness of fit -- Rank tests -- Designed experiments -- Categorical data -- Estimating distribution functions -- Density estimation -- Beyond linear regression -- Curve fitting techniques -- Wavelets -- Bootstrap -- Em algorithm -- Statistical learning -- Nonparametric bayes.
Abstract:
This book presents modern nonparametric statistics from a practical point of view. It is primarily intended for use with engineers and scientists. While the book covers the necessary theorems and methods of rank tests in an applied fashion, the novelty lies in its emphasis on modern nonparametric methods in regression and curve fitting, bootstrap confidence intervals, splines, wavelets, empirical and nonparametric likelihood, and goodness of fit testing. MATLAB is the computing and programming system of choice throughout the book because of its special applicability for research analysis and s.
Local Note:
John Wiley and Sons
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E-Book 598011-1001 QA278.8 .V53 2023
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