Nonparametric Statistics with Applications to Science and Engineering

• Main Authors: Kvam, Paul H. 1962- (Author), Vidakovic, Brani 1955- (Author)
• Format: Book
• Language: English
• Published: Hoboken, New Jersey Wiley-Inter-Science 2007
• Series: Wiley series in probability and statistics
• Subjects: Nonparametric statistics > Statistical methods; Engineering > Statistical methods; Science > Statistical methods
• Online Access: Click Here to View Status and Holdings.

 This book presents a practical approach to nonparametric statistical analysis and provides comprehensive coverage of both established and newly developed methods. With the use of MATLAB, the authors present information on theorems and rank tests in an applied fashion, with an emphasis on modern methods in regression and curve fitting, bootstrap confidence intervals, splines, wavelets, empirical likelihood, and goodness-of-fit testing. Nonparametric Statistics with Applications to Science and Engineering begins with succinct coverage of basic results for order statistics, methods of categorical data analysis, nonparametric regression, and curve fitting methods. The authors then focus on nonparametric procedures that are becoming more relevant to engineering researchers and practitioners. The important fundamental materials needed to effectively learn and apply the discussed methods are also provided throughout the book.