विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| डबल-ब्लाइंड फ़्रैक्शनल फ़ैक्टोरियल प्रयोग× | प्रतिक्रिया सतह पद्धति (RSM)× | |
|---|---|---|
| क्षेत्र | प्रयोगात्मक अभिकल्प | प्रयोगात्मक अभिकल्प |
| परिवार≠ | Process / pipeline | Hypothesis test |
| उद्भव वर्ष≠ | 1960s onward (combination widely used in pharmaceutical and food science research) | 1951 |
| प्रवर्तक≠ | Fractional factorial: Box & Hunter (1961); double-blind convention: clinical trial methodology (mid-20th century) | George E. P. Box & K. B. Wilson |
| प्रकार≠ | Controlled experimental design with blinding and factor-space reduction | Second-order polynomial response surface model |
| मौलिक स्रोत≠ | Box, G. E. P., Hunter, J. S., & Hunter, W. G. (2005). Statistics for Experimenters: Design, Innovation, and Discovery (2nd ed.). Wiley-Interscience. ISBN: 978-0471718130 | 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. link ↗ |
| उपनाम≠ | double-blind FFE, blinded fractional factorial design, double-blind FFD, masked fractional factorial experiment | RSM, Central Composite Design, Box-Behnken Design, CCD |
| संबंधित≠ | 3 | 7 |
| सारांश≠ | A double-blind fractional factorial experiment combines two powerful methodological protections: fractional factorial design, which tests a carefully chosen subset of all possible factor combinations to achieve efficiency, and double-blind administration, which prevents both participants and assessors from knowing which treatment combination has been applied. The result is an experiment that is both resource-efficient and protected against expectation and assessment bias. | 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. |
| ScholarGateडेटासेट ↗ |
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