পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| প্যারামেট্রিক বুটস্ট্র্যাপ× | বেয়েশীয় বুটস্ট্র্যাপ (রুবিন)× | পারমুটেশন (র্যান্ডমাইজেশন) টেস্ট× | |
|---|---|---|---|
| ক্ষেত্র | পরিসংখ্যান | পরিসংখ্যান | পরিসংখ্যান |
| পরিবার | Regression model | Regression model | Regression model |
| উদ্ভবের বছর≠ | 1993 | 1981 | 2005 |
| প্রবর্তক≠ | Efron & Tibshirani; Davison & Hinkley | Rubin (1981); large-sample theory by Lo (1987) | Good (2005); Edgington & Onghena (2007); resampling tradition |
| ধরন≠ | Resampling-based inference (model-based) | Resampling / posterior simulation | Nonparametric resampling test |
| মৌলিক উৎস≠ | Efron, B. & Tibshirani, R. J. (1993). An Introduction to the Bootstrap. CRC Press. ISBN: 978-0412042317 | Rubin, D. B. (1981). The Bayesian Bootstrap. The Annals of Statistics, 9(1), 130-134. DOI ↗ | Good, P. (2005). Permutation, Parametric and Bootstrap Tests of Hypotheses (3rd ed.). Springer. ISBN: 978-0387202792 |
| অপর নাম≠ | parametrik bootstrap, model-based bootstrap, parametric resampling | Bayesian Bootstrap (Rubin), Rubin bootstrap, Dirichlet-weighted bootstrap | randomization test, exact permutation test, re-randomization test, Permütasyon Testi |
| সম্পর্কিত | 5 | 5 | 5 |
| সারসংক্ষেপ≠ | The parametric bootstrap is a resampling method that estimates standard errors and confidence intervals by drawing repeated samples from a parametric model that has been fitted to the data. Developed in the bootstrap literature of Efron and Tibshirani (1993) and Davison and Hinkley (1997), it replaces analytic derivations for non-normal distributions and complex statistics. | The Bayesian Bootstrap, introduced by Donald B. Rubin in 1981, is a resampling method that produces a Bayesian counterpart to the frequentist bootstrap by assigning each observation a random weight drawn from a Dirichlet distribution. It yields a full posterior distribution for a statistic and allows prior information to be incorporated. | The permutation test is a nonparametric resampling procedure that builds the sampling distribution of a test statistic directly from the data by repeatedly shuffling the group labels. Developed in the resampling tradition and treated systematically by Good (2005) and Edgington & Onghena (2007), it requires no parametric distributional assumption and yields an exact p-value. |
| ScholarGateডেটাসেট ↗ |
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