UID:
almahu_9948196874102882
Format:
1 online resource (xiv, 420 pages) :
,
illustrations
ISBN:
9780470168707
,
0470168706
,
9780470168691
,
0470168692
Content:
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.
Note:
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.
Additional Edition:
Print version: Kvam, Paul H., 1962- Nonparametric statistics with applications to science and engineering. Hoboken, N.J. : Wiley-Interscience, ©2007 ISBN 9780470081471
Additional Edition:
ISBN 0470081473
Language:
English
Keywords:
Electronic books.
DOI:
10.1002/9780470168707
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/9780470168707
