Salīdzināt metodes

	Adaptīvs eksperiments	Metodoloģija virsmas atbildes (RSM)
Nozare	Eksperimentu plānošana	Eksperimentu plānošana
Saime	Process / pipeline	Hypothesis test
Izcelsmes gads	1940s–1970s (sequential foundations); formalised in clinical and behavioural research by 1980s–2000s	1951
Autors	Abraham Wald (sequential analysis foundation); expanded by Robbins, Armitage, and others	George E. P. Box & K. B. Wilson
Tips	Experimental research design	Second-order polynomial response surface model
Pirmavots	Chow, S. C., & Chang, M. (2008). Adaptive Design Methods in Clinical Trials. Chapman and Hall/CRC. ISBN: 978-1584886761	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.
Citi nosaukumi	adaptive design, response-adaptive randomization, adaptive trial, adaptive randomization	RSM, Central Composite Design, Box-Behnken Design, CCD
Saistītās	5	7
Kopsavilkums	An adaptive experiment is an experimental design in which pre-specified rules allow the protocol to be modified — such as reallocating participants to better-performing arms, stopping early for efficacy or futility, or changing sample size — based on accumulating interim data, while maintaining statistical validity. Adaptive designs are widely used in clinical trials, behavioural economics, and online platform testing to improve efficiency and ethics without sacrificing inferential rigour.	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.