Files

Download

Read More (573 KB)

Description

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.

Complete with exercise sets, chapter reviews, and a related Web site that features downloadable MATLAB applications, this book is an essential textbook for graduate courses in engineering and the physical sciences and also serves as a valuable reference for researchers who seek a more comprehensive understanding of modern nonparametric statistical methods.

ISBN

9780470081471

Publication Date

2007

Publisher

John Wiley & Sons, Inc.

City

Hoboken

Keywords

nonparametric statistics, regression methods, MATLAB applications

School

School of Arts and Sciences

Department

Math and Computer Science

Disciplines

Computer Sciences | Mathematics

Comments

Read the introduction to the book by linking to the Read More button above.

Nonparametric Statistics with Applications to Science and Engineering

Share

COinS