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  2. 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.

  3. The Design of Experiments - Wikipedia

    en.wikipedia.org/wiki/The_Design_of_Experiments

    The Design of Experiments is a 1935 book by the English statistician Ronald Fisher about the design of experiments and is considered a foundational work in experimental design. [2] [3] [4] Among other contributions, the book introduced the concept of the null hypothesis in the context of the lady tasting tea experiment. [5]

  4. Category:Design of experiments - Wikipedia

    en.wikipedia.org/wiki/Category:Design_of_experiments

    Experimental design is the design of all information-gathering exercises where variation is present, whether under the full control of the experimenter or an observational study. The experimenter may be interested in the effect of some intervention or treatment on the subjects in the design.

  5. 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 affect of their variability on the observed outcomes.

  6. 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 ...

  7. Taguchi methods - Wikipedia

    en.wikipedia.org/wiki/Taguchi_methods

    Taguchi methods (Japanese: タグチメソッド) are statistical methods, sometimes called robust design methods, developed by Genichi Taguchi to improve the quality of manufactured goods, and more recently also applied to engineering, [1] biotechnology, [2] [3] marketing and advertising. [4]

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  9. 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