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  2. 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]

  3. Multifactor design of experiments software - Wikipedia

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

    Design and Analysis of Experiments, 9th Edition; DOE Simplified: Practical Tools for Effective Experimentation, 3rd Edition; RSM Simplified: Optimizing Processes Using Response Surface Methods for Design of Experiments, 2nd Edition; Warning Signs in Experimental Design and Interpretation ; NIST Eng. Stats Section 5 Process Improvement

  4. 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 ...

  5. Statistical Methods for Research Workers - Wikipedia

    en.wikipedia.org/wiki/Statistical_Methods_for...

    Statistical Methods for Research Workers is a classic book on statistics, written by the statistician R. A. Fisher. It is considered by some [who?] to be one of the 20th century's most influential books on statistical methods, together with his The Design of Experiments (1935). It was originally published in 1925, by Oliver & Boyd (Edinburgh ...

  6. Bayesian experimental design - Wikipedia

    en.wikipedia.org/wiki/Bayesian_experimental_design

    The theory of Bayesian experimental design [ 1] is to a certain extent based on the theory for making optimal decisions under uncertainty. The aim when designing an experiment is to maximize the expected utility of the experiment outcome. The utility is most commonly defined in terms of a measure of the accuracy of the information provided by ...

  7. 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 ...

  8. Block design - Wikipedia

    en.wikipedia.org/wiki/Block_design

    A partially balanced incomplete block design with n associate classes (PBIBD(n)) is a block design based on a v-set X with b blocks each of size k and with each element appearing in r blocks, such that there is an association scheme with n classes defined on X where, if elements x and y are ith associates, 1 ≤ i ≤ n, then they are together ...

  9. 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. [1] Design–Expert provides test matrices for ...

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