Response Surfaces Designs And Analyses

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Response Surfaces: Designs and Analyses

Author : Andre I. Khuri,John A. Cornell
Publisher : Routledge
Page : 307 pages
File Size : 49,8 Mb
Release : 2018-12-18
Category : Mathematics
ISBN : 9781351418690

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Response Surfaces: Designs and Analyses by Andre I. Khuri,John A. Cornell Pdf

Response Surfaces: Designs and Analyses; Second Edition presents techniques for designing experiments that yield adequate and reliable measurements of one or several responses of interest, fitting and testing the suitability of empirical models used for acquiring information from the experiments, and for utilizing the experimental results to make decisions concerning the system under investigation. This edition contains chapters on response surface models with block effects and on Taguchi's robust parameter design, additional details on transformation of response variable, more material on modified ridge analysis, and new design criteria, including rotatability for multiresponse experiments. It also presents an innovative technique for displaying correlation among several response. Numerical examples throughout the book plus exercises--with worked solutions to selected problems--complement the text.

Response Surfaces

Author : André I. Khuri,John A. Cornell
Publisher : Unknown
Page : 432 pages
File Size : 53,5 Mb
Release : 1987
Category : Mathematics
ISBN : UOM:39015017286439

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Response Surfaces by André I. Khuri,John A. Cornell Pdf

Response Surfaces, Mixtures, and Ridge Analyses

Author : George E. P. Box,Norman R. Draper
Publisher : John Wiley & Sons
Page : 880 pages
File Size : 52,8 Mb
Release : 2007-01-22
Category : Mathematics
ISBN : 9780470072752

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Response Surfaces, Mixtures, and Ridge Analyses by George E. P. Box,Norman R. Draper Pdf

The authority on building empirical models and the fitting of such surfaces to data—completely updated and revised Revising and updating a volume that represents the essential source on building empirical models, George Box and Norman Draper—renowned authorities in this field—continue to set the standard with the Second Edition of Response Surfaces, Mixtures, and Ridge Analyses, providing timely new techniques, new exercises, and expanded material. A comprehensive introduction to building empirical models, this book presents the general philosophy and computational details of a number of important topics, including factorial designs at two levels; fitting first and second-order models; adequacy of estimation and the use of transformation; and occurrence and elucidation of ridge systems. Substantially rewritten, the Second Edition reflects the emergence of ridge analysis of second-order response surfaces as a very practical tool that can be easily applied in a variety of circumstances. This unique, fully developed coverage of ridge analysis—a technique for exploring quadratic response surfaces including surfaces in the space of mixture ingredients and/or subject to linear restrictions—includes MINITAB® routines for performing the calculations for any number of dimensions. Many additional figures are included in the new edition, and new exercises (many based on data from published papers) offer insight into the methods used. The exercises and their solutions provide a variety of supplementary examples of response surface use, forming an extremely important component of the text. Response Surfaces, Mixtures, and Ridge Analyses, Second Edition presents material in a logical and understandable arrangement and includes six new chapters covering an up-to-date presentation of standard ridge analysis (without restrictions); design and analysis of mixtures experiments; ridge analysis methods when there are linear restrictions in the experimental space including the mixtures experiments case, with or without further linear restrictions; and canonical reduction of second-order response surfaces in the foregoing general case. Additional features in the new edition include: New exercises with worked answers added throughout An extensive revision of Chapter 5: Blocking and Fractionating 2k Designs Additional discussion on the projection of two-level designs into lower dimensional spaces This is an ideal reference for researchers as well as a primary text for Response Surface Methodology graduate-level courses and a supplementary text for Design of Experiments courses at the upper-undergraduate and beginning-graduate levels.

Response Surfaces

Author : André I. Khuri,John A. Cornell
Publisher : Unknown
Page : 423 pages
File Size : 50,9 Mb
Release : 1987-12-01
Category : Electronic
ISBN : 0608089443

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Response Surfaces by André I. Khuri,John A. Cornell Pdf

Response Surface Methodology

Author : Raymond H. Myers,Douglas C. Montgomery,Christine M. Anderson-Cook
Publisher : John Wiley & Sons
Page : 856 pages
File Size : 55,9 Mb
Release : 2016-01-04
Category : Mathematics
ISBN : 9781118916032

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Response Surface Methodology by Raymond H. Myers,Douglas C. Montgomery,Christine M. Anderson-Cook Pdf

Praise for the Third Edition: “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.” - Zentralblatt Math Featuring a substantial revision, the Fourth Edition of Response Surface Methodology: Process and Product Optimization Using Designed Experiments presents 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. With multiple revised sections with new topics and expanded coverage, Response Surface Methodology: Process and Product Optimization Using Designed Experiments, Fourth Edition includes: Many 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 Additional coverage on topics such as experiments with computer models, definitive screening designs, and data measured with error Expanded integration of examples and experiments, which present up-to-date software applications, such as JMP®, SAS, and Design-Expert®, throughout An extensive references section to help readers stay up-to-date with leading research in the field of RSM An ideal textbook for upper-undergraduate and graduate-level courses in statistics, engineering, and chemical/physical sciences, Response Surface Methodology: Process and Product Optimization Using Designed Experiments, Fourth Edition is also a useful reference for applied statisticians and engineers in disciplines such as quality, process, and chemistry.

Response Surface Methodology

Author : Raymond H. Myers,Douglas C. Montgomery
Publisher : Wiley-Interscience
Page : 734 pages
File Size : 54,8 Mb
Release : 1995-09-12
Category : Mathematics
ISBN : UOM:39015056620290

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Response Surface Methodology by Raymond H. Myers,Douglas C. Montgomery Pdf

The primary objetive of response surface methodology in to aid the statistician and other uers of statistics in applying response surface procedures to appropriate problems in many technical fields. Although methods are emphasized in the boock, a certain amount of theory is presented so that a reader with sufficient baclground in mathematics, especially in the algeba of matrices, can obtain an expourse to the theoretical development. While response surface techniques are widely used, it seems that a need existes for an exposition which contains a considerable amount of the basic material under a single cover. At the time it is felt hist book may create a continued awareness of the basic techniques amog the potential users.

Design and Analysis of Experiments

Author : Douglas C. Montgomery
Publisher : Wiley
Page : 0 pages
File Size : 46,6 Mb
Release : 2005
Category : Experimental design
ISBN : 0471661597

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Design and Analysis of Experiments by Douglas C. Montgomery Pdf

This bestselling professional reference has helped over 100,000 engineers and scientists with the success of their experiments. The new edition includes more software examples taken from the three most dominant programs in the field: Minitab, JMP, and SAS. Additional material has also been added in several chapters, including new developments in robust design and factorial designs. New examples and exercises are also presented to illustrate the use of designed experiments in service and transactional organizations. Engineers will be able to apply this information to improve the quality and efficiency of working systems.

Response Surface Methodology

Author : Raymond H. Myers,Douglas C. Montgomery,Christine M. Anderson-Cook
Publisher : Wiley
Page : 856 pages
File Size : 55,8 Mb
Release : 2016-02-01
Category : Mathematics
ISBN : 1118916018

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Response Surface Methodology by Raymond H. Myers,Douglas C. Montgomery,Christine M. Anderson-Cook Pdf

Praise for the Third Edition: “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.” - Zentralblatt Math Featuring a substantial revision, the Fourth Edition of Response Surface Methodology: Process and Product Optimization Using Designed Experiments presents 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. With multiple revised sections with new topics and expanded coverage, Response Surface Methodology: Process and Product Optimization Using Designed Experiments, Fourth Edition includes: Many 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 Additional coverage on topics such as experiments with computer models, definitive screening designs, and data measured with error Expanded integration of examples and experiments, which present up-to-date software applications, such as JMP®, SAS, and Design-Expert®, throughout An extensive references section to help readers stay up-to-date with leading research in the field of RSM An ideal textbook for upper-undergraduate and graduate-level courses in statistics, engineering, and chemical/physical sciences, Response Surface Methodology: Process and Product Optimization Using Designed Experiments, Fourth Edition is also a useful reference for applied statisticians and engineers in disciplines such as quality, process, and chemistry.

Robust Response Surfaces, Regression, and Positive Data Analyses

Author : Rabindra Nath Das
Publisher : Unknown
Page : 333 pages
File Size : 46,7 Mb
Release : 2014-01-01
Category : Electronic
ISBN : 130686593X

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Robust Response Surfaces, Regression, and Positive Data Analyses by Rabindra Nath Das Pdf

Although widely used in science and technology for experimental data generating, modeling, and optimization, the response surface methodology (RSM) has many limitations. Showing how robust response surface methodology (RRSM) can overcome these limitations, Robust Response Surfaces, Regression, and Positive Data Analyses presents RRS designs, along with the relevant regression and positive data analysis techniques. It explains how to use RRSM in experimental designs and regression analysis. The book addresses problems of RRS designs, such as rotatability, slope-rotatability, weak rotatability, and optimality. It describes methods for estimating model parameters as well as positive data analysis techniques. The author illustrates the concepts and methods with real examples of lifetime responses, resistivity, replicated measures, and more. The range of topics and applications gives the book broad appeal both to theoreticians and practicing professionals. The book helps quality engineers, scientists in any area, medical practitioners, demographers, economists, and statisticians understand the theory and applications of RRSM. It can also be used in a second course on the design of experiments.

RSM Simplified

Author : Mark J. Anderson,Patrick J. Whitcomb
Publisher : CRC Press
Page : 250 pages
File Size : 52,9 Mb
Release : 2016-08-05
Category : Business & Economics
ISBN : 9781315351728

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RSM Simplified by Mark J. Anderson,Patrick J. Whitcomb Pdf

This book continues where DOE Simplified leaves off in Chapter 8 with an introduction to "Response Surface Methods [RSM] for Optimization." It presents this advanced tool for design of experiments (DOE) in a way that anyone with a minimum of technical training can understand and appreciate. Unlike any other book of its kind, RSM Simplified keeps formulas to a minimum—making liberal use of figures, charts, graphs and checklists. It also offers many relevant examples, amusing and fun do-it-yourself exercises.

Handbook of Design and Analysis of Experiments

Author : Angela Dean,Max Morris,John Stufken,Derek Bingham
Publisher : CRC Press
Page : 946 pages
File Size : 47,9 Mb
Release : 2015-06-26
Category : Mathematics
ISBN : 9781466504349

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Handbook of Design and Analysis of Experiments by Angela Dean,Max Morris,John Stufken,Derek Bingham Pdf

This carefully edited collection synthesizes the state of the art in the theory and applications of designed experiments and their analyses. It provides a detailed overview of the tools required for the optimal design of experiments and their analyses. The handbook covers many recent advances in the field, including designs for nonlinear models and algorithms applicable to a wide variety of design problems. It also explores the extensive use of experimental designs in marketing, the pharmaceutical industry, engineering and other areas.

Empirical Model-Building and Response Surfaces

Author : George E. P. Box,Norman R. Draper
Publisher : Wiley-Blackwell
Page : 696 pages
File Size : 53,7 Mb
Release : 1987-01-16
Category : Mathematics
ISBN : MINN:31951D00096163F

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Empirical Model-Building and Response Surfaces by George E. P. Box,Norman R. Draper Pdf

An innovative discussion of building empirical models and the fitting of surfaces to data. Introduces the general philosophy of response surface methodology, and details least squares for response surface work, factorial designs at two levels, fitting second-order models, adequacy of estimation and the use of transformation, occurrence and elucidation of ridge systems, and more. Some results are presented for the first time. Includes real-life exercises, nearly all with solutions.

Design and Analysis of Experiments, Volume 3

Author : Klaus Hinkelmann
Publisher : John Wiley & Sons
Page : 598 pages
File Size : 54,5 Mb
Release : 2012-02-14
Category : Mathematics
ISBN : 9780470530689

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Design and Analysis of Experiments, Volume 3 by Klaus Hinkelmann Pdf

Provides timely applications, modifications, and extensions of experimental designs for a variety of disciplines Design and Analysis of Experiments, Volume 3: Special Designs and Applications continues building upon the philosophical foundations of experimental design by providing important, modern applications of experimental design to the many fields that utilize them. The book also presents optimal and efficient designs for practice and covers key topics in current statistical research. Featuring contributions from leading researchers and academics, the book demonstrates how the presented concepts are used across various fields from genetics and medicinal and pharmaceutical research to manufacturing, engineering, and national security. Each chapter includes an introduction followed by the historical background as well as in-depth procedures that aid in the construction and analysis of the discussed designs. Topical coverage includes: Genetic cross experiments, microarray experiments, and variety trials Clinical trials, group-sequential designs, and adaptive designs Fractional factorial and search, choice, and optimal designs for generalized linear models Computer experiments with applications to homeland security Robust parameter designs and split-plot type response surface designs Analysis of directional data experiments Throughout the book, illustrative and numerical examples utilize SAS®, JMP®, and R software programs to demonstrate the discussed techniques. Related data sets and software applications are available on the book's related FTP site. Design and Analysis of Experiments, Volume 3 is an ideal textbook for graduate courses in experimental design and also serves as a practical, hands-on reference for statisticians and researchers across a wide array of subject areas, including biological sciences, engineering, medicine, and business.

Robust Response Surfaces, Regression, and Positive Data Analyses

Author : Rabindra Nath Das
Publisher : CRC Press
Page : 339 pages
File Size : 48,8 Mb
Release : 2014-05-21
Category : Mathematics
ISBN : 9781466506770

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Robust Response Surfaces, Regression, and Positive Data Analyses by Rabindra Nath Das Pdf

Although widely used in science and technology for experimental data generating, modeling, and optimization, the response surface methodology (RSM) has many limitations. Showing how robust response surface methodology (RRSM) can overcome these limitations, Robust Response Surfaces, Regression, and Positive Data Analyses presents RRS designs, along with the relevant regression and positive data analysis techniques. It explains how to use RRSM in experimental designs and regression analysis. The book addresses problems of RRS designs, such as rotatability, slope-rotatability, weak rotatability, and optimality. It describes methods for estimating model parameters as well as positive data analysis techniques. The author illustrates the concepts and methods with real examples of lifetime responses, resistivity, replicated measures, and more. The range of topics and applications gives the book broad appeal both to theoreticians and practicing professionals. The book helps quality engineers, scientists in any area, medical practitioners, demographers, economists, and statisticians understand the theory and applications of RRSM. It can also be used in a second course on the design of experiments.