Nonparametric Statistics with Applications to Science and Engineering
Paul H. Kvam, Georgia Institute of Technology;
Brani Vidakovic, Georgia Institute of Technology
John Wiley & Sons, Inc., 2007
ISBN: 978-0-470-08147-1;
Language: English
Written for graduate courses in engineering and the physical sciences, this book presents a practical approach to nonparametric statistical methods. Topics covered include modern methods in regression and curve fitting, bootstrap confidence intervals, and goodness-of-fit testing.
The book includes a chapter on computing with MATLAB software, and MATLAB and Statistics and Machine Learning Toolbox are used throughout the text to illustrate concepts. In addition, a supplemental set of MATLAB M-files is available for download.
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