{"product_id":"response-surface-methodology","title":"Response Surface Methodology","description":"\u003cp\u003e\u003cb\u003ePraise for the \u003ci\u003eThird Edition\u003c\/i\u003e:\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e“This new third edition has been substantially rewritten and updated with new topics and material, new examples and exercises, and to more fully illustrate modern applications of RSM.”\u003cbr\u003e\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e — \u003cem style=\"font-weight: bold;\"\u003eZentralblatt Math\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003c\/em\u003e\u003c\/p\u003e \u003cp\u003eFeaturing a substantial revision, the \u003ci\u003eFourth Edition\u003c\/i\u003e of \u003ci\u003eResponse Surface Methodology: Process and Product Optimization Using Designed Experiments \u003c\/i\u003epresents updated coverage on the underlying theory and applications of response surface methodology (RSM). Providing the assumptions and conditions necessary to successfully apply RSM in modern applications, the new edition covers classical and modern response surface designs in order to present a clear connection between the designs and analyses in RSM.\u003c\/p\u003e \u003cp\u003eWith multiple revised sections with new topics and expanded coverage, \u003ci\u003eResponse Surface Methodology: Process and Product Optimization Using Designed Experiments, Fourth Edition \u003c\/i\u003eincludes:\u003c\/p\u003e \u003cul\u003e \u003cli\u003eMany updates on topics such as optimal designs, optimization techniques, robust parameter design, methods for design evaluation, computer-generated designs, multiple response optimization, and non-normal responses\u003c\/li\u003e \u003cli\u003eAdditional coverage on topics such as experiments with computer models, definitive screening designs, and data measured with error\u003c\/li\u003e \u003cli\u003eExpanded integration of examples and experiments, which present up-to-date software applications, such as JMP®, SAS, and Design-Expert®, throughout\u003c\/li\u003e \u003cli\u003eAn extensive references section to help readers stay up-to-date with leading research in the field of RSM\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eAn ideal textbook for upper-undergraduate and graduate-level courses in statistics, engineering, and chemical\/physical sciences, \u003ci\u003eResponse Surface Methodology: Process and Product Optimization Using Designed Experiments, Fourth Edition \u003c\/i\u003eis also a useful reference for applied statisticians and engineers in disciplines such as quality, process, and chemistry.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eRaymond H. Myers, PhD,\u003c\/b\u003e is Professor Emeritus in the Department of Statistics at Virginia Polytechnic Institute and State University. He has more than 40 years of academic experience in the areas of experimental design and analysis, response surface analysis, and designs for nonlinear models. A Fellow of the American Statistical Association (ASA) and the American Society for Quality (ASQ), Dr. Myers has authored numerous journal articles and books, including \u003ci\u003eGeneralized Linear Models: with Applications in Engineering and the Sciences, Second Edition\u003c\/i\u003e, also published by Wiley.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eDouglas C. Montgomery, PhD,\u003c\/b\u003e is Regents' Professor of Industrial Engineering and Arizona State University Foundation Professor of Engineering. Dr. Montgomery has more than 30 years of academic and consulting experience and his research interest includes the design and analysis of experiments. He is a Fellow of ASA and the Institute of Industrial Engineers, and an Honorary Member of ASQ. He has authored numerous journal articles and books, including \u003ci\u003eDesign and Analysis of Experiments, Eighth Edition\u003c\/i\u003e; \u003ci\u003eGeneralized Linear Models: with Applications in Engineering and the Sciences, Second Edition\u003c\/i\u003e; \u003ci\u003eIntroduction to Introduction to Linear Regression Analysis, Fifth Edition\u003c\/i\u003e; and \u003ci\u003eIntroduction to Time Series Analysis and Forecasting, Second Edition\u003c\/i\u003e, all published by Wiley.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChristine M. Anderson-Cook, PhD,\u003c\/b\u003e is a Research Scientist and Project Leader in the Statistical Sciences Group at the Los Alamos National Laboratory, New Mexico. Dr. Anderson-Cook has over 20 years of academic and consulting experience, and has written numerous journal articles on the topics of design of experiments, response surface methodology and reliability. She is a Fellow of the ASA and ASQ.\u003c\/p\u003e","brand":"Christine M. Anderson-Cook","offers":[{"title":"Default Title","offer_id":42856843673661,"sku":"9781118916018","price":246.56,"currency_code":"AUD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0597\/7689\/2989\/files\/9781118916018_4f8925d1-f68a-4dc5-bf4b-7e14a859365e.jpg?v=1767036112","url":"https:\/\/www.palmleaf.com.au\/products\/response-surface-methodology","provider":"Palmleaf","version":"1.0","type":"link"}