পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| শ্রেণিবদ্ধ বুটস্ট্র্যাপ সিমুলেশন× | বহুস্তরীয় বুটস্ট্র্যাপ সিমুলেশন× | |
|---|---|---|
| ক্ষেত্র | বেইসীয় | বেইসীয় |
| পরিবার | Bayesian methods | Bayesian methods |
| উদ্ভবের বছর≠ | 1997-2008 | 1979 (bootstrap); multilevel variants c.1990s |
| প্রবর্তক≠ | Davison & Hinkley; Cameron, Gelbach & Miller | Efron (1979); multilevel extensions developed through 1980s–2000s |
| ধরন≠ | resampling simulation | resampling / simulation |
| মৌলিক উৎস≠ | Davison, A. C. & Hinkley, D. V. (1997). Bootstrap Methods and their Application. Cambridge University Press. ISBN: 978-0521574716 | Efron, B. (1979). Bootstrap methods: Another look at the jackknife. The Annals of Statistics, 7(1), 1–26. DOI ↗ |
| অপর নাম | cluster bootstrap, multilevel bootstrap, nested bootstrap resampling, hierarchical resampling | hierarchical bootstrap, cluster bootstrap, stratified bootstrap for multilevel data, multilevel resampling |
| সম্পর্কিত≠ | 5 | 6 |
| সারসংক্ষেপ≠ | Hierarchical bootstrap simulation is a resampling technique designed for data with nested or clustered structure — students within schools, patients within hospitals, repeated measures within subjects. It preserves the natural grouping of the data by resampling at each level of the hierarchy in sequence, producing a sampling distribution that correctly reflects both between-group and within-group variability. | Multilevel bootstrap simulation is a resampling technique designed for clustered or hierarchically structured data. It preserves the nested data structure by resampling at each level independently — first drawing clusters (e.g., schools, hospitals), then drawing observations within each sampled cluster — so that bootstrap replicate datasets reflect the same multilevel organisation as the original data. |
| ScholarGateডেটাসেট ↗ |
|
|