Journal ArticleDOI
Response surface methodology
TLDR
A survey of the various stages in the development of response surface methodology RSM is provided, organized in three parts that describe the evolution of RSM since its introduction in the early 1950s.Abstract:
The purpose of this article is to provide a survey of the various stages in the development of response surface methodology RSM. The coverage of these stages is organized in three parts that describe the evolution of RSM since its introduction in the early 1950s. Part I covers the period, 1951-1975, during which the so-called classical RSM was developed. This includes a review of basic experimental designs for fitting linear response surface models, in addition to a description of methods for the determination of optimum operating conditions. Part II, which covers the period, 1976-1999, discusses more recent modeling techniques in RSM, in addition to a coverage of Taguchi's robust parameter design and its response surface alternative approach. Part III provides a coverage of further extensions and research directions in modern RSM. This includes discussions concerning response surface models with random effects, generalized linear models, and graphical techniques for comparing response surface designs. Copyright © 2010 John Wiley & Sons, Inc.read more
Citations
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Journal ArticleDOI
A Review of Recent Developments in Electrical Machine Design Optimization Methods With a Permanent-Magnet Synchronous Motor Benchmark Study
Yao Duan,Dan M. Ionel +1 more
TL;DR: In this article, the authors systematically cover the significant developments of the last decade, including surrogate modeling of electrical machines and direct and stochastic search algorithms for both single and multi-objective design optimization problems.
Journal ArticleDOI
Performance of different coagulants in the coagulation/flocculation process of textile wastewater
Juliana Dotto,Márcia Regina Fagundes-Klen,Márcia Teresinha Veit,Soraya Moreno Palácio,Rosangela Bergamasco +4 more
TL;DR: In this paper, a comparative study of the efficiency of different coagulants in textile wastewater treatment was carried out, and the results showed that the use of natural coagulate instead of synthetic ones has demonstrated significant advantages since it provides a low cost and environmentally friendly technology for removing dyes.
Journal ArticleDOI
Hybrid simulation–optimization methods: A taxonomy and discussion
TL;DR: A taxonomy that aims at giving an overview of the full spectrum of current simulation–optimization approaches is provided, which may guide researchers who want to use one of the existing methods, give insights into the cross-fertilization of the ideas applied in those methods and create a standard for a better communication in the scientific community.
Journal ArticleDOI
Regression and Kriging metamodels with their experimental designs in simulation: A review
TL;DR: In this paper, the design and analysis of simulation experiments are discussed via two types of metamodel (surrogate emulator) and analysis via low-order polynomial regression and Kriging (or Gaussian process).
Journal ArticleDOI
A novel hybrid MCDM model combining the SAW, TOPSIS and GRA methods based on experimental design
TL;DR: A hybrid MCDM method combining simple additive weighting (SAW), techniques for order preference by similarity to an ideal solution (TOPSIS) and grey relational analysis (GRA) techniques, which can guide a decision maker in making a reasonable judgment without requiring professional skills or extensive experience is presented.
References
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Book
Generalized Linear Models
Peter McCullagh,John A. Nelder +1 more
TL;DR: In this paper, a generalization of the analysis of variance is given for these models using log- likelihoods, illustrated by examples relating to four distributions; the Normal, Binomial (probit analysis, etc.), Poisson (contingency tables), and gamma (variance components).
Book
Response Surface Methodology: Process and Product Optimization Using Designed Experiments
TL;DR: Using a practical approach, this book discusses two-level factorial and fractional factorial designs, several aspects of empirical modeling with regression techniques, focusing on response surface methodology, mixture experiments and robust design techniques.
Journal ArticleDOI
Generalized Linear Models
TL;DR: In this paper, the authors used iterative weighted linear regression to obtain maximum likelihood estimates of the parameters with observations distributed according to some exponential family and systematic effects that can be made linear by a suitable transformation.
Journal ArticleDOI
An Efficient Method of Estimating Seemingly Unrelated Regressions and Tests for Aggregation Bias
TL;DR: In this paper, a method of estimating the parameters of a set of regression equations is reported which involves application of Aitken's generalized least-squares to the whole system of equations.
Book
Multivariate statistical methods
TL;DR: In this article, a text designed to make multivariate techniques available to behavioural, social, biological and medical students is presented, which includes an approach to multivariate inference based on the union-intersection and generalized likelihood ratio principles.
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