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Search Enter keywords, a title or a report id number below. In All Categories --------------------- Telecom & Computing Business & Finance Mfg & Construction Pharma & Healthcare Consumer & Retail Gov & Public Sector Energy & Transport Country Reports Company Reports --------------------- Transcripts Advanced      Select a currency for use throughout the site Australia Dollars Canada Dollars Euro Japan Yen Sweden Kroner Switzerland Francs UK Pounds US Dollars Viewing report Order by Fax Printer Friendly PDF Brochure Send to Friend Enquire before Buying Hard Copy Nonparametric Statistics With Applications to Science and Engineering John Wiley and Sons Ltd, Sep 2007, Pages: 420   Description     Table of Contents        Enquire before Buying    Send to a Friend   This book presents modern nonparametric statistics from a practical point of view. It is primarily intended for use with engineers and scientists. While the book covers the necessary theorems and methods of rank tests in an applied fashion, the novelty lies in its emphasis on modern nonparametric methods in regression and curve fitting, bootstrap confidence intervals, splines, wavelets, empirical and nonparametric likelihood, and goodness of fit testing. MATLAB is the computing and programming system of choice throughout the book because of its special applicability for research analysis and simulation. Author Info: Paul H. Kvam, PhD, is Professor of Industrial and Systems Engineering at Georgia Institute of Technology. His research interests include nonparametric estimation, statistical reliability with applications to engineering, and analysis of complex and dependent systems. He has written over fifty refereed articles and was named a Fellow of the American Statistical Association in 2006. 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. Product samples Nonparametric Statistics With Applications to Science and Engineering - Intro Customers who bought this item also bought Intelligent Fault Diagnosis and Prognosis for Engineering Systems: Methods and Case Studies Industry Guide 2006 � Engineering Digital Transmission Engineering, 2nd Edition Company Study of Shanghai Kehua Bio-engineering Co., Ltd., 2007 Company Study of Shanghai Kehua Bio-engineering Co., Ltd. 2007 Analysis on China�s Engineering Crane Market Engineering Statistics, 4th Edition Antibody Engineering: Technologies, Applications, and Business Opportunities

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