পদ্ধতির তুলনা করুন

	বেইসিয়ান ফ্র্যাকশনাল ফ্যাক্টরিয়াল ডিজাইন	পরীক্ষামূলক নকশার বেইজিয়ান পদ্ধতি
ক্ষেত্র	পরীক্ষামূলক নকশা	পরীক্ষামূলক নকশা
পরিবার	Process / pipeline	Process / pipeline
উদ্ভবের বছর	1990s	1956 (foundational); formalized 1970s–1990s
প্রবর্তক	DuMouchel & Jones; Chipman, Hamada & Wu	Lindley (1956); Chaloner & Verdinelli (1995) landmark review
ধরন	Bayesian experimental design method	Bayesian optimal experimental design
মৌলিক উৎস	DuMouchel, W., & Jones, B. (1994). A simple Bayesian modification of D-optimal designs to reduce dependence on an assumed model. Technometrics, 36(1), 37–47.	Chaloner, K., & Verdinelli, I. (1995). Bayesian Experimental Design: A Review. Statistical Science, 10(3), 273–304.
অপর নাম	Bayesian FFD, Bayesian screening design, Bayesian factor-screening experiment, BFF design	Bayesian DOE, Bayesian optimal design, Bayesian experimental design, BDE
সম্পর্কিত	3	3
সারসংক্ষেপ	Bayesian fractional factorial design integrates Bayesian prior information into the selection and analysis of fractional factorial experiments. Rather than running every combination of factor levels, only a carefully chosen subset of runs is executed, with Bayesian inference used to estimate effects and quantify uncertainty — even when the classical aliasing structure leaves effects confounded.	Bayesian design of experiments selects experimental runs by maximising a utility function — typically the expected information gain — computed over prior beliefs about model parameters. Unlike classical design, which optimizes algebraic criteria such as D-optimality under fixed assumptions, Bayesian DOE incorporates prior knowledge and uncertainty about the system, yielding designs that are optimal in expectation across all plausible parameter values.