NONPARAMETRIC STATISTICS WITH APPLICATIONS TO SCIENCE AND ENGINEERING (WILEY SERIES IN PROBABILITY AND STATISTICS)
Language: English
Published by Wiley-Interscience, Hoboken, 2007
- Hardcover
- Used

Seller: Second Story Books, ABAA, Rockville, MD, U.S.A.Second Story Books, ABAA
AbeBooks seller since May 29, 1997
Condition: Used
US$ 67.50
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Add to basketItem description from seller
Octavo, xiv, 420 pages. In Very Good condition. Spine is purple with white print. Boards in glossy illustrated paper. Light wear to corners. Illustrated: b&w graphs, figures, photographs. NOTE: Shelved in Netdesk Column I. 1380580. FP New Rockville Stock.
Seller Inventory # 1380580
- Title
- NONPARAMETRIC STATISTICS WITH APPLICATIONS TO SCIENCE AND ENGINEERING (WILEY SERIES IN PROBABILITY AND STATISTICS)
- Author
- Kvam, Paul H., 1962- ; Vidakovic, Brani, 1955-
- Publisher
- Wiley-Interscience, Hoboken
- Publication year
- 2007
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 0470081473
- ISBN 13
- 9780470081471
- Seller catalogs
- Sciences, Math, Medicine, & Natural History
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.
"Synopsis" may belong to another edition of this title.
About the Author
Brani Vidakovic, PhD, is Professor of Statistics and Director of the Center for Bioengineering Statistics at The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology. He has authored or co-authored three books and has published more than four dozen refereed articles. His areas of interest include wavelets, Bayesian inference, biostatistics, statistical methods in environmental research, and statistical education.
"About the title" may belong to another edition of this title.
Second Story Books, ABAA
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