factorial design

(redirected from factorial experiment)
Also found in: Dictionary, Thesaurus, Medical, Legal, Wikipedia.

factorial design

[fak′tȯr·ē·əl di‚zīn]
(statistics)
A design for an experiment that allows the experimenter to find out the effect levels of each factor on levels of all the other factors.
References in periodicals archive ?
Let a triple factorial experiment conducted in CRD with factors [alpha], [beta] and [gamma] considered in a, b and c levels, respectively, replicated J times.
Data were collected from primary care physicians in the United States as part of a larger factorial experiment designed to simultaneously measure the effects of: (1) patient attributes (age, gender, race, and socioeconomic status); (2) physician characteristics (gender and years of clinical experience); and (3) cognitive priming status on medical decision making for an actor "patient" presenting with CHD in a videotaped vignette.
To set optimal technological parameters of lipid-rich model wastewater cleaning, 4 series of factorial experiments with 16 parallel tests in each were done.
Chicago, IL, USA) for a 3 x 3 factorial experiment in a Completely Randomized Design with 4 replications.
Consider an example of the simplest type of a factorial experiment involving the application of two drugs (A and B) each given at two 'levels' (given or not given) to 24 subjects, randomly allocated, six to each treatment combination (Table 4).
The investigators conducted a factorial experiment that incorporated varying particle size distributions, fat and lecithin.
Construction of px3x2 Asymmetrical Factorial Experiment in blocks of 6 plots with (p-1) replications:
In a fully orthogonal factorial experiment, embryos were exposed to one of 6 salinity levels (10 ppt, 15 ppt, 20 ppt, 25 ppt, 30 ppt, or 35 ppt) at each of one of 12 temperature levels (16[degrees]C, 18[degrees]C, 20[degrees]C, 21[degrees]C, 22[degrees]C, 23[degrees]C, 24[degrees]C, 25[degrees]C, 26[degrees]C, 27[degrees]C, 28[degrees]C, or 30[degrees]C).
The statistically designed factorial experiment was considered to be the best method of finding the optimum formulation of the hybrid dispersion to be used as precursors for siloxane-containing polymer matrices.