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Nonparametric statistics with applications to science and engineering

A thorough and definitive book that fully addresses traditional and modern-day topics of nonparametric statistics 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,...

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Detalles Bibliográficos
Autores principales: Kvam, Paul H, Vidakovic, Brani
Lenguaje:eng
Publicado: Wiley 2007
Materias:
Acceso en línea:http://cds.cern.ch/record/1079901
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author Kvam, Paul H
Vidakovic, Brani
author_facet Kvam, Paul H
Vidakovic, Brani
author_sort Kvam, Paul H
collection CERN
description A thorough and definitive book that fully addresses traditional and modern-day topics of nonparametric statistics 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.
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spelling cern-10799012021-04-22T01:55:18Zhttp://cds.cern.ch/record/1079901engKvam, Paul HVidakovic, BraniNonparametric statistics with applications to science and engineeringMathematical Physics and MathematicsA thorough and definitive book that fully addresses traditional and modern-day topics of nonparametric statistics 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.Wileyoai:cds.cern.ch:10799012007
spellingShingle Mathematical Physics and Mathematics
Kvam, Paul H
Vidakovic, Brani
Nonparametric statistics with applications to science and engineering
title Nonparametric statistics with applications to science and engineering
title_full Nonparametric statistics with applications to science and engineering
title_fullStr Nonparametric statistics with applications to science and engineering
title_full_unstemmed Nonparametric statistics with applications to science and engineering
title_short Nonparametric statistics with applications to science and engineering
title_sort nonparametric statistics with applications to science and engineering
topic Mathematical Physics and Mathematics
url http://cds.cern.ch/record/1079901
work_keys_str_mv AT kvampaulh nonparametricstatisticswithapplicationstoscienceandengineering
AT vidakovicbrani nonparametricstatisticswithapplicationstoscienceandengineering