Salīdzināt metodes

	2^(k-p) daļējā faktoriālā plānošana	Deseas eksperimentālā dizaina shēma
Nozare	Eksperimentu plānošana	Eksperimentu plānošana
Saime	Hypothesis test	Hypothesis test
Izcelsmes gads	1961	1935
Autors	George E. P. Box and J. Stuart Hunter	Frank Yates
Tips	Screening and economical factorial design	Parametric mixed-model ANOVA
Pirmavots	Box, G.E.P. & Hunter, J.S. (1961). The 2^(k-p) Fractional Factorial Designs. Technometrics, 3(3), 311–351.	Yates, F. (1935). Complex Experiments. Supplement to the Journal of the Royal Statistical Society, 2(2), 181–247.
Citi nosaukumi	2^k-p design, fractional factorial, screening design, Kesirli Faktöriyel Desen (2^k-p Fractional Factorial)	split-plot ANOVA, whole-plot sub-plot design, Bölünmüş Parsel Deseni (Split-Plot)
Saistītās	7	6
Kopsavilkums	The fractional factorial design is an economical experimental strategy that investigates k factors by running only a carefully chosen 1/2^p fraction of the full 2^k factorial experiment. Formalized by George E. P. Box and J. Stuart Hunter in their landmark 1961 Technometrics paper, it exploits the sparsity-of-effects principle — that high-order interactions are typically negligible — to screen many factors with far fewer runs than a complete factorial would require.	The split-plot design is a parametric experimental design that applies one factor to large whole plots and a second factor to subdivisions (sub-plots) within each whole plot. It was introduced by Frank Yates in 1935 to handle agricultural experiments where one factor — such as irrigation or tillage method — is difficult or impractical to change frequently, while a second factor can be varied more easily within the same plot.