Search results
Results From The WOW.Com Content Network
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 ...
Douglas C. Montgomery, “Design and Analysis of Experiments, 8th Edition,” John Wiley & Sons Inc; 8th edition (April 2012, ©2013). Raymond H. Myers, Douglas C. Montgomery, Christine M. Anderson-Cook , “ Response Surface Methodology: Process and Product Optimization Using Designed Experiments ,” John Wiley & Sons Inc; 3 edition (January ...
In statistics, fractional factorial designs are experimental designs consisting of a carefully chosen subset (fraction) of the experimental runs of a full factorial design. [ 1] The subset is chosen so as to exploit the sparsity-of-effects principle to expose information about the most important features of the problem studied, while using a ...
Main effect. In the design of experiments and analysis of variance, a main effect is the effect of an independent variable on a dependent variable averaged across the levels of any other independent variables. The term is frequently used in the context of factorial designs and regression models to distinguish main effects from interaction effects.
Factorial experiment. In statistics, a full factorial experiment is an experiment whose design consists of two or more factors, each with discrete possible values or "levels", and whose experimental units take on all possible combinations of these levels across all such factors. A full factorial design may also be called a fully crossed design.
Design of Experiments (DOE) is a methodology for formulating scientific and engineering problems using statistical models. The protocol specifies a randomization procedure for the experiment and specifies the primary data-analysis, particularly in hypothesis testing.
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]
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 ...