Comparar métodos

	Experimento Fatorial Piloto	Metodologia de Superfície de Resposta (RSM)
Área	Delineamento experimental	Delineamento experimental
Família	Process / pipeline	Hypothesis test
Ano de origem	1930s (Fisher); pilot application conventions developed mid-20th century	1951
Autor original	R. A. Fisher (factorial design foundations); formalized in experimental statistics literature	George E. P. Box & K. B. Wilson
Tipo	Preliminary experimental design	Second-order polynomial response surface model
Fonte seminal	Montgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1119113478	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.
Outros nomes	preliminary factorial study, pilot factorial design, small-scale factorial trial, feasibility factorial experiment	RSM, Central Composite Design, Box-Behnken Design, CCD
Relacionados	2	7
Resumo	A pilot factorial experiment is a small-scale, preliminary study that employs a factorial structure to simultaneously vary two or more factors across a limited number of experimental units. Its purpose is not to deliver definitive conclusions but to estimate effect sizes, within-group variance, and factor interactions, and to test logistical feasibility before committing resources to a full-scale factorial experiment. It is widely used in behavioral sciences, engineering, agriculture, and clinical research as an essential planning step.	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.