Response Surface Methodology on Test Science Research Document Library https://research.testscience.org/keywords/response-surface-methodology/ Recent content in Response Surface Methodology on Test Science Research Document Library Hugo -- 0.129.0 en-us Institute for Defense Analyses Sun, 01 Jan 2012 00:00:00 +0000 Designed Experiments for the Defense Community https://research.testscience.org/post/2012-designed-experiments-for-the-defense-community/ Sun, 01 Jan 2012 00:00:00 +0000 https://research.testscience.org/post/2012-designed-experiments-for-the-defense-community/ The areas of application for design of experiments principles have evolved, mimicking the growth of U.S. industries over the last century, from agriculture to manufacturing to chemical and process industries to the services and government sectors. In addition, statistically based quality programs adopted by businesses morphed from total quality management to Six Sigma and, most recently, statistical engineering (see Hoerl and Snee 2010). The good news about these transformations is that each evolution contains more technical substance, embedding the methodologies as core competencies, and is less of a ‘‘program. The areas of application for design of experiments principles have evolved, mimicking the growth of U.S. industries over the last century, from agriculture to manufacturing to chemical and process industries to the services and government sectors. In addition, statistically based quality programs adopted by businesses morphed from total quality management to Six Sigma and, most recently, statistical engineering (see Hoerl and Snee 2010). The good news about these transformations is that each evolution contains more technical substance, embedding the methodologies as core competencies, and is less of a ‘‘program.’’ Design of experiments is fundamental to statistical engineering and is receiving increased attention within large government agencies such as the National Aeronautics and Space Administration (NASA) and the Department of Defense. Because test policy is intended to shape test programs, numerous test agencies have experimented with policy wording since about 2001. The Director of Operational Test & Evaluation has recently (2010) published guidelines to mold test programs into a sequence of well-designed and statistically defensible experiments. Specifically, the guidelines require, for the first time, that test programs report statistical power as one proof of sound test design. This article presents the underlying tenets of design of experiments, as applied in the Department of Defense, focusing on factorial, fractional factorial, and response surface design and analyses. The concepts of statistical modeling and sequential experimentation are also emphasized. Military applications are presented for testing and evaluation of weapon system acquisition, including force-on-force tactics, weapons employment and maritime search, identification, and intercept.

Suggested Citation

Johnson, Rachel T., Gregory T. Hutto, James R. Simpson, and Douglas C. Montgomery. “Designed Experiments for the Defense Community.” Quality Engineering 24, no. 1 (January 2012): 60–79. https://doi.org/10.1080/08982112.2012.627288.

Paper:

]]> Design of Experiments in Highly Constrained Design Spaces https://research.testscience.org/post/2011-design-of-experiments-in-highly-constrained-design-spaces/ Sat, 01 Jan 2011 00:00:00 +0000 https://research.testscience.org/post/2011-design-of-experiments-in-highly-constrained-design-spaces/ This presentation shows the merits of applying experimental design to operational tests, guidance on using DOE from the Director, Operational Test and Evaluation, and presents the design solution for the test of a chemical agent detector. It is important to keep in mind the advanced techniques from DOE (split-plot designs, optimal designs) to determine effective DOEs for operational testing; traditional design strategies often result in designs that are not executable. This presentation shows the merits of applying experimental design to operational tests, guidance on using DOE from the Director, Operational Test and Evaluation, and presents the design solution for the test of a chemical agent detector. It is important to keep in mind the advanced techniques from DOE (split-plot designs, optimal designs) to determine effective DOEs for operational testing; traditional design strategies often result in designs that are not executable.

Suggested Citation

Freeman, Laura. “Design of Experiments in Highly Constrained Design Spaces.” Presented at the Army Conference on Applied Statistics, October 2011.

Slides:

]]> Choice of Second-Order Response Surface Designs for Logistic and Poisson Regression Models https://research.testscience.org/post/2009-choice-of-second-order-response-surface-designs-for-logistic-and-poisson-regression-models/ Thu, 01 Jan 2009 00:00:00 +0000 https://research.testscience.org/post/2009-choice-of-second-order-response-surface-designs-for-logistic-and-poisson-regression-models/ This paper illustrates the construction of D-optimal second order designs for situations when the response is either binomial (pass/fail) or Poisson (count data). Suggested Citation Johnson, Rachel T., and Douglas C. Montgomery. “Choice of Second-Order Response Surface Designs for Logistic and Poisson Regression Models.” International Journal of Experimental Design and Process Optimisation 1, no. 1 (2009): 2. https://doi.org/10.1504/IJEDPO.2009.028954. Paper: This paper illustrates the construction of D-optimal second order designs for situations when the response is either binomial (pass/fail) or Poisson (count data).

Suggested Citation

Johnson, Rachel T., and Douglas C. Montgomery. “Choice of Second-Order Response Surface Designs for Logistic and Poisson Regression Models.” International Journal of Experimental Design and Process Optimisation 1, no. 1 (2009): 2. https://doi.org/10.1504/IJEDPO.2009.028954.

Paper:

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