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  2. Multifactor design of experiments software - Wikipedia

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

    Factorial experimental design software drastically simplifies previously laborious hand calculations needed before the use of computers. During World War II, a more sophisticated form of DOE, called factorial design, became a big weapon for speeding up industrial development for the Allied forces. These designs can be quite compact, involving a

  3. Design of experiments - Wikipedia

    en.wikipedia.org/wiki/Design_of_experiments

    The design of experiments, 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.

  4. Design–Expert - Wikipedia

    en.wikipedia.org/wiki/Design–Expert

    Design–Expert offers test matrices for screening up to 50 factors. A power calculator helps establish the number of test runs needed. ANOVA is provided to establish statistical significance. Based on the validated predictive models, a numerical optimizer helps the user determine the ideal values for each of the factors in the experiment. [7]

  5. 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.

  6. Fractional factorial design - Wikipedia

    en.wikipedia.org/wiki/Fractional_factorial_design

    The results of that example may be used to simulate a fractional factorial experiment using a half-fraction of the original 2 4 = 16 run design. The table shows the 2 4-1 = 8 run half-fraction experiment design and the resulting filtration rate, extracted from the table for the full 16 run factorial experiment.

  7. Optimal experimental design - Wikipedia

    en.wikipedia.org/wiki/Optimal_experimental_design

    Gustav Elfving developed the optimal design of experiments, and so minimized surveyors' need for theodolite measurements (pictured), while trapped in his tent in storm-ridden Greenland. [ 1 ] In the design of experiments , optimal experimental designs (or optimum designs [ 2 ] ) are a class of experimental designs that are optimal with respect ...

  8. Blocking (statistics) - Wikipedia

    en.wikipedia.org/wiki/Blocking_(statistics)

    In the statistical theory of the design of experiments, blocking is the arranging of experimental units that are similar to one another in groups (blocks) based on one or more variables. These variables are chosen carefully to minimize the impact of their variability on the observed outcomes.

  9. Yates analysis - Wikipedia

    en.wikipedia.org/wiki/Yates_Analysis

    In statistics, a Yates analysis is an approach to analyzing data obtained from a designed experiment, where a factorial design has been used. Full- and fractional-factorial designs are common in designed experiments for engineering and scientific applications.