পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| রেসপন্স সারফেস মেথডোলজি (RSM)× | ল্যাটিন স্কোয়ার এবং গ্রেকো-ল্যাটিন স্কোয়ার ডিজাইন× | |
|---|---|---|
| ক্ষেত্র | পরীক্ষামূলক নকশা | পরীক্ষামূলক নকশা |
| পরিবার | Hypothesis test | Hypothesis test |
| উদ্ভবের বছর≠ | 1951 | 1935 |
| প্রবর্তক≠ | George E. P. Box & K. B. Wilson | Ronald A. Fisher |
| ধরন≠ | Second-order polynomial response surface model | Parametric blocked ANOVA |
| মৌলিক উৎস≠ | 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 ↗ | Montgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1119492443 |
| অপর নাম≠ | RSM, Central Composite Design, Box-Behnken Design, CCD | Latin Square, Greco-Latin Square, Latin Kare ve Greco-Latin Kare Deseni |
| সম্পর্কিত≠ | 7 | 5 |
| সারসংক্ষেপ≠ | 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. | The Latin square design is a blocked experimental design that simultaneously controls two independent nuisance factors — the row block and the column block — so that each treatment appears exactly once in every row and every column of an n×n arrangement. Formalised by Ronald A. Fisher in his 1935 monograph The Design of Experiments, the design dramatically reduces experimental error by absorbing variation from two extraneous sources before the treatment effects are estimated. |
| ScholarGateডেটাসেট ↗ |
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