design of experiments


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design of experiments

the planning of an experiment so that the results will provide evidence to support, refute or modify the particular hypothesis which is being tested. For example, any experiment which involves sampling should be planned in such a way that the results are sufficient to allow proper statistical testing.
Collins Dictionary of Biology, 3rd ed. © W. G. Hale, V. A. Saunders, J. P. Margham 2005
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and Whitcomb, P.J., "Design of Experiments for Coatings," Chapter 15, Coatings Technology Handbook, Third Edition, CRC Press, 15-1-15-6, 2005.
Objective Experiments provides targeted training in Design of Experiments (DOE), Measurement System Analysis (MSA), and Product Reliability to help our clients achieve success in bringing products, services and ideas to fruition—more quickly, easily and effectively.
The goal of this first design of experiments was to understand the impact of the positional accuracy of the printed solder paste to the component pad, the positional accuracy of the placed component to the component pad, and atmosphere and profile of the reflow process.
The tool utilizes a sophisticated three-dimensional Java-based graphical user interface, 3-D probability contouring and results visualization, advanced design of experiments and sensitive analysis, a probabilistic input database and state-of-the-art interface to many third party application codes.
In another instance, developmental testers from the 46th Test Wing attended a design of experiments class taught by their operational test counterparts in Air Combat Command's 53rd Wing here at Eglin.
Particular emphasis was placed on the cost of the Raytheon-supplied Integrated Detector Assembly (IDA) using Design of Experiments (5) (DOE) and other variability reduction techniques.
A set of techniques called Design of Experiments, or DOE, has proved to be an extremely useful methodology for enhancing the effectiveness of that planning.
The company goes on to say that SAS9 analytics are part of an integrated, highly scalable platform that includes capabilities such as predictive and descriptive modeling, forecasting, simulation, optimization and design of experiments. SAS adds that new in this release are Java interfaces for Enterprise Miner and Text Miner, which are integrated with one another, that allow organizations to analyze both structured data and unstructured text more easily.
Several Design of Experiments enhancements are also offered.
* One last tool is design of experiments, which is used to validate your findings and your solutions.
This software should provide both on- and off-line SPC/SQC tools, which can range from simple control chart reporting to sophisticated design of experiments and business intelligence capabilities.

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