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Description: 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(More)
Traditional single stage design optimality procedures can be used to efficiently generate data for an assumed model y = f(x (m) ,β) + ε. The model assumptions include the form of f, the set of regressors, x (m) , and the distribution of ε. The nature of the response, y, often provides information about the model form (f) and the error distribution. It is(More)
The simple analysis of covariance situation with two groups and one concomitant variable is considered. The parameters of this model with outliers present are estimated by the methods of at least squares and M-estimation. By use of simulation, several forms of M-estimators are compared with the least squares method. In terms of their efficiencies the tests(More)
The dose-response surface for a combination of drugs is a multidimensional figure. Consequently, it is not possible to view such a surface using orthogonal axes when the number of dimensions exceeds 3. Parallel axes have been used to represent hyperdimensional figures. This paper reports on the use of parallel coordinate axes to plot the dose-response(More)
Simulation metamodels find apphcation m the study of complex systems that cannot be solved analytically. These metamodels represent efficient tools for studying the characteristics of the more comphcated simulation model, provide needed insight into the problems of computer model validation and verification, and allow for the prediction of both system(More)
In this paper we focus on the use of a two-stage procedure for logistic regression that emphasizes predicting response through the use of the Q-optimality criterion. The use of D-optimality in the first stage is primarily to allow best possible parameter estimates as one enters the second stage. However, it is important to understand that there are many(More)
This paper presents some experimental design strategies for simulation studies involving the estimation of quadratic response surfaces. Optimal design plans are developed in four common second-order design classes (central composite, Box-Behnken, three-level factorial, and small composite designs) using a criterion which incorporates both the bias and(More)
A procedure is developed for the construction of sequential simulation designs for the estimation of first-and second-order response surface met amodela. The first stage of experimentation involves the use of a fractional two-level factorial design augmented with replicated center points. Information obtained from this experimental design is used to(More)