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pro vyhledávání: '"Rachel T. Johnson"'
Publikováno v:
Quality Engineering. 24:60-79
The article of record as published may be found at http://dx.DOI.org/10.1080/08982112.2012.627288 The areas of application for design of experiments principles have evolved, mimicking the growth of U.S. industries over the last century, from agricult
Publikováno v:
Journal of Quality Technology. 42:86-102
The use of simulation as a modeling and analysis tool is wide spread. Simulation is an enabling tool for experimentally virtually on a validated computer environment. Often the underlying function for a computer experiment result has too much curvalt
Autor:
Rachel T. Johnson, Bradley Jones
Publikováno v:
Quality and Reliability Engineering International. 25:515-524
In an effort to speed the development of new products and processes, many companies are turning to computer simulations to avoid the time and expense of building prototypes. These computer simulations are often complex, taking hours to complete one r
Autor:
Paul M. Danehy, Andrew D. Cutler, Peter A. Parker, Douglas C. Montgomery, Ray D. Rhew, Rachel T. Johnson
Publikováno v:
Quality and Reliability Engineering International. 25:365-377
An application of a classical design approach to an experiment involving the study of supersonic combustion is described in this paper. The case study described is that of an experiment whose objective is to create response surfaces of the mean and v
Publikováno v:
Frontiers in Statistical Quality Control 10 ISBN: 9783790828450
Computer models play an increasingly important role in engineering design and in the study of complex systems, where physical experiments on the real system or even a prototype are prohibitively expensive. Both deterministic and stochastic computer m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cbfa949df55d38272a9659d9a148bb5b
https://doi.org/10.1007/978-3-7908-2846-7_19
https://doi.org/10.1007/978-3-7908-2846-7_19
The article of record as published may be found at http://dx.DOI.org/10.1080/08982112.2011.576203 There are many situations in which the requirements of a standard experimental design do not fit the research requirements of the problem. Three such si
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::21a7cd8f1061dc623470a573108650a8
https://hdl.handle.net/10945/47628
https://hdl.handle.net/10945/47628
The Gaussian process (GASP) model has found widespread use as a surrogate model for results from deterministic computer model output. In this paper, we compare the fits of GASP models to specific space-filling designs based on their accuracy in predi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::433cb0b937b05e586c48f54e1b92f161
https://hdl.handle.net/10945/47617
https://hdl.handle.net/10945/47617
The article of record as published may be found at http://dx.doi.org/10.1002/qre.1063 We illustrate the construction of Bayesian D-optimal designs for nonlinear models and compare the relative efficiency of standard designs with these designs for sev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::218e13ba045f5ae4d3ec193674d5b076
https://hdl.handle.net/10945/44163
https://hdl.handle.net/10945/44163
Autor:
Bradley Jones, Rachel T. Johnson
Publikováno v:
Quality and Reliability Engineering International. 25:549-550
Publikováno v:
International Journal of Experimental Design and Process Optimisation. 1:2
Response surface methodology is widely used for process development and optimisation, product design, and as part of the modern framework for robust parameter design. For normally distributed responses, the standard second-order designs such as the c