পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| Bonferroni Correction× | একমুখী ভেদাঙ্ক বিশ্লেষণ× | |
|---|---|---|
| ক্ষেত্র | পরিসংখ্যান | পরিসংখ্যান |
| পরিবার | Hypothesis test | Hypothesis test |
| উদ্ভবের বছর≠ | 1961 | 1925 |
| প্রবর্তক≠ | Carlo Emilio Bonferroni; formalized for multiple comparisons by Olive Jean Dunn | Ronald A. Fisher |
| ধরন≠ | Family-wise error rate (FWER) correction | Parametric mean comparison |
| মৌলিক উৎস≠ | Bonferroni, C. E. (1936). Teoria statistica delle classi e calcolo delle probabilità. Pubblicazioni del R Istituto Superiore di Scienze Economiche e Commerciali di Firenze, 8, 3–62. link ↗ | Fisher, R. A. (1925). Statistical Methods for Research Workers. Edinburgh: Oliver and Boyd. link ↗ |
| অপর নাম≠ | Bonferroni adjustment, Bonferroni method, Bonferroni procedure, FWER correction | one-factor ANOVA, single-factor ANOVA, analysis of variance, tek yönlü ANOVA |
| সম্পর্কিত≠ | 5 | 4 |
| সারসংক্ষেপ≠ | The Bonferroni correction is a conservative, universally applicable method for controlling the family-wise error rate (FWER) when conducting multiple simultaneous hypothesis tests. Grounded in Bonferroni's 1936 probability inequality and formalized for multiple comparisons by Olive Jean Dunn in 1961, the procedure divides the target significance level α by the number of tests m, ensuring that the probability of making even one false rejection across the entire family of tests does not exceed α. | One-way ANOVA is a parametric hypothesis test that compares the means of three or more independent groups on a single continuous outcome to decide whether at least one group mean differs. It rests on the variance-partitioning framework introduced by Ronald A. Fisher in 1925. |
| ScholarGateডেটাসেট ↗ |
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