পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| ফিশার এক্সাক্ট র্যান্ডমাইজেশন ইনফারেন্স× | বুুটস্ট্র্যাপ অনুমান× | জ্যাকনাইফ পুনঃনমুনায়ন (Jackknife Resampling)× | |
|---|---|---|---|
| ক্ষেত্র | পরিসংখ্যান | পরিসংখ্যান | পরিসংখ্যান |
| পরিবার | Regression model | Regression model | Regression model |
| উদ্ভবের বছর≠ | 1935 | 1979 | 1956 |
| প্রবর্তক≠ | Ronald A. Fisher | Bradley Efron | Quenouille (1956); reviewed by Miller (1974) |
| ধরন≠ | Exact permutation-based inference | Resampling-based inference | Resampling / bias and variance estimation |
| মৌলিক উৎস≠ | Fisher, R. A. (1935). The Design of Experiments. Oliver & Boyd. link ↗ | Efron, B. (1979). Bootstrap Methods: Another Look at the Jackknife. Annals of Statistics, 7(1), 1-26. DOI ↗ | Quenouille, M. H. (1956). Notes on Bias in Estimation. Biometrika, 43(3/4), 353-360. DOI ↗ |
| অপর নাম | fisher randomization test, permutation inference, exact randomization test, randomizasyon çıkarımı (fisher exact randomization) | bootstrap, bootstrap resampling, nonparametric bootstrap, Bootstrap Çıkarımı | leave-one-out resampling, Quenouille-Tukey jackknife, delete-one jackknife, Jackknife Yeniden Örnekleme |
| সম্পর্কিত | 5 | 5 | 5 |
| সারসংক্ষেপ≠ | Randomization inference, introduced by Ronald A. Fisher in The Design of Experiments (1935), computes an exact p-value by evaluating a test statistic across all possible treatment assignments under Fisher's sharp null hypothesis. It is regarded as the gold standard for analysing designed experiments because its validity rests on the known assignment mechanism rather than on distributional assumptions. | Bootstrap inference, introduced by Bradley Efron in 1979, estimates the sampling distribution of a statistic by repeatedly resampling the observed data with replacement. It requires no distributional assumption and produces reliable confidence intervals even in small samples. | The jackknife is a classical resampling method that estimates the bias and variance of a statistic by systematically recomputing it with one observation left out at a time. Introduced by Quenouille in 1956 and later reviewed by Miller in 1974, it predates the bootstrap and remains a simple, deterministic tool for assessing estimator stability. |
| ScholarGateডেটাসেট ↗ |
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