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  2. Multifactor design of experiments software - Wikipedia

    en.wikipedia.org/wiki/Multifactor_Design_of...

    DOE software is most applicable to controlled, multifactor experiments in which the experimenter is interested in the effect of some process or intervention on objects such as crops, jet engines, demographics, marketing techniques, materials, adhesives, and so on. Design of experiments software is therefore a valuable tool with broad ...

  3. Design of experiments - Wikipedia

    en.wikipedia.org/wiki/Design_of_experiments

    The design of experiments (DOE or DOX), also known as experiment design or experimental design, is the design of any task that aims to describe and explain the variation of information under conditions that are hypothesized to reflect the variation. The term is generally associated with experiments in which the design introduces conditions that ...

  4. Design–Expert - Wikipedia

    en.wikipedia.org/wiki/Design–Expert

    Design–Expert is a statistical software package from Stat-Ease Inc. that is specifically dedicated to performing design of experiments (DOE). Design–Expert offers comparative tests, screening, characterization, optimization, robust parameter design, mixture designs and combined designs.

  5. Optimal experimental design - Wikipedia

    en.wikipedia.org/wiki/Optimal_experimental_design

    Optimal designs reduce the costs of experimentation by allowing statistical models to be estimated with fewer experimental runs. Optimal designs can accommodate multiple types of factors, such as process, mixture, and discrete factors. Designs can be optimized when the design-space is constrained, for example, when the mathematical process ...

  6. Stat-Ease - Wikipedia

    en.wikipedia.org/wiki/Stat-Ease

    Stat-Ease, Inc. is a privately held company producing statistical software in Minneapolis, Minnesota, USA, founded by Patrick Whitcomb in 1982.The company has 11 employees and provides software packages for engineers and scientists using design of experiments (DOE) methods for optimizing development of products and processes.

  7. Experimental software engineering - Wikipedia

    en.wikipedia.org/wiki/Experimental_software...

    Experimental software engineering involves running experiments on the processes and procedures involved in the creation of software systems, [citation needed] with the intent that the data be used as the basis of theories about the processes involved in software engineering (theory backed by data is a fundamental tenet of the scientific method ...

  8. JMP (statistical software) - Wikipedia

    en.wikipedia.org/wiki/JMP_(statistical_software)

    The software has a simple menu design, with information organized across either multiple windows or under multiple tabs within a single window. [40] Additional contextual menus are generated with new output. [41] The software's primary applications are for designed experiments and analyzing statistical data from industrial processes. [7]

  9. Design for Six Sigma - Wikipedia

    en.wikipedia.org/wiki/Design_for_Six_Sigma

    Design for Six Sigma (DFSS) is a collection of best-practices for the development of new products and processes. It is sometimes deployed as an engineering design process or business process management method. DFSS originated at General Electric to build on the success they had with traditional Six Sigma; but instead of process improvement ...

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