factorial experiment


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factorial experiment

an experiment in which all treatments are varied together rather than one at a time, so the effect of each or combinations of several can be isolated and measured.

factorial experiment

see factorial experiment.

factorial experiment design
a design for an experiment in which all levels of each controlled variable are included with all levels of the others.
References in periodicals archive ?
The program builds the inner array accordingly to fractional factorial experiments plan and uses for the terms in array the measured values of roughness ([R.
Statistical models are developed using data of factorial experiments that were carried out according to close to D-optimal experimental designs [B.
A method similar to Yates have been used by Li (1944) for the construction of asymmetrical factorial experiments 4 x [2.
The optimal recipes of the dispersion systems, applied as polymer matrix precursors, were determined on the basis of factorial experiments, designed as [2.
As a result, full factorial experiments are rarely conducted with a large number of factors.
We manipulated temperature and thyroxine in 2x2 factorial experiment, thereby testing the hypotheses that geographic variation in metamorphic timing is clue to geographic variation in (a) stream temperatures and (b) timing of thyroxine production, and/or an interaction between these two effects.
In an area adjacent to experimental plots, a factorial experiment with two treatments, exclosures and gaps, and n = 3 replicate treatment combinations was laid out in a completely randomized design (df = 8).
Sequential experimentation seems an efficient tool to use when a large number of independent variables are to be examined simultaneously, especially when compared with the usual alternative: a single, prohibitively large factorial experiment.
Similarly, the reciprocal factorial experiment presented here confirmed a large maternal contribution to seed mass in Nemophila menziesii, but could not, in principle, reveal its basis.