Results 171 to 180 of about 1,694 (248)
Some of the next articles are maybe not open access.
Response surface designs using the generalized variance inflation factors
Cogent Mathematics, 2015Donald E Ramirez, Guohua Zou
exaly +2 more sources
Theoretical developments in response surface designs: an informative review and further thoughts
Communications in Statistics - Theory and Methods, 2021Response Surface Designs (RSDs) are widely used in process or product optimization studies to explore the input-response relationship. This paper is an attempt to provide a compilation of theoretical developments in the RSDs, since its inception in early
M. Hemavathi +5 more
semanticscholar +1 more source
Algorithmic construction ofR-optimal designs for second-order response surface models
Journal of Statistical Planning and Inference, 2016Rong-Xian Yue, Kashinath Chatterjee
exaly +2 more sources
The robustness of response surface designs with errors in factor levels
Communications in Statistics - Theory and Methods, 2020ABSRTACT Since errors in factor levels affect the traditional statistical properties of response surface designs, an important question to consider is robustness of design to errors.
Juntao Fang +3 more
semanticscholar +1 more source
Exact Inference for Response Surface Designs Within a Split-Plot Structure
Journal of Quality Technology, 2008G Geoffrey Vining, Scott M Kowalski
exaly +2 more sources
"Repairing" Response Surface Designs
Technometrics, 1972This note considers a method, recently described by Dykstra, for augmenting existing data in response surface experiments. Examples are given to show how this relatively simple approach can be usefully applied, not only to design repair problems, but to situations in which the experimenter, after reviewing his initial results, decides to change his ...
T. L. Hebble, T. J. Mitchell
openaire +1 more source
Enumeration and Multicriteria Selection of Orthogonal Minimally Aliased Response Surface Designs
Technometrics, 2019Response surface designs (RSDs) are a core component of the response surface methodology, which is widely used in the context of product and process optimization.
J. N. Ares, P. Goos
semanticscholar +1 more source
The Journal of the Science of Food and Agriculture, 2022
Response surface methodology (RSM) is a widely used mathematical and statistical technique for modelling and optimizing the process for the extraction of bioactive compounds.
A. Weremfo +4 more
semanticscholar +1 more source
Response surface methodology (RSM) is a widely used mathematical and statistical technique for modelling and optimizing the process for the extraction of bioactive compounds.
A. Weremfo +4 more
semanticscholar +1 more source
Response surface split‐plot designs: A literature review
Quality and Reliability Engineering International, 2018The fundamental principles of experiment design are factorization, replication, randomization, and local control of error. In many industrial experiments, however, departure from these principles is commonplace.
Luis A. Cortes, J. R. Simpson, P. Parker
semanticscholar +1 more source