विधियों की तुलना करें

	पायलट प्रभाजी गुणनखंड प्रयोग (Pilot Fractional Factorial Experiment)	प्रतिक्रिया सतह पद्धति (RSM)
क्षेत्र	प्रयोगात्मक अभिकल्प	प्रयोगात्मक अभिकल्प
परिवार	Process / pipeline	Hypothesis test
उद्भव वर्ष	1950s–1960s (fractional factorial foundation); pilot study integration formalized in 20th century DOE practice	1951
प्रवर्तक	Box, Hunter & Hunter (fractional factorial); pilot study concept developed broadly in industrial and clinical experimentation	George E. P. Box & K. B. Wilson
प्रकार	Experimental screening design (pilot phase)	Second-order polynomial response surface model
मौलिक स्रोत	Montgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1119492443	Box, G. E. P. & Wilson, K. B. (1951). On the experimental attainment of optimum conditions. Journal of the Royal Statistical Society, Series B, 13(1), 1–45.
उपनाम	pilot FFE, screening pilot design, pilot fractional factorial, pilot FF screening study	RSM, Central Composite Design, Box-Behnken Design, CCD
संबंधित	5	7
सारांश	A pilot fractional factorial experiment is a small-scale preliminary study that uses a fractional factorial design — testing only a subset of all possible factor combinations — to screen multiple factors simultaneously before committing to a full-scale investigation. It provides early estimates of effect sizes, variance, and feasibility at substantially reduced cost and participant burden compared to a full factorial pilot or a full-scale trial.	Response Surface Methodology is a collection of statistical and mathematical techniques for building an empirical second-order polynomial model that relates a continuous response variable to two or more controllable input factors, and then locating the factor settings that optimize that response. The approach was introduced by George E. P. Box and K. B. Wilson in their landmark 1951 paper and has since become a cornerstone of process optimization across engineering, chemistry, food science, and pharmaceutics.