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The document discusses resampling methods in statistics, specifically focusing on the jackknife and bootstrap techniques for estimating properties like bias and standard error of estimators. Resampling is useful when classical methods are inadequate due to issues like small sample sizes or non-random samples. The jackknife method involves calculating estimators by leaving out one observation at a time, while the bootstrap method involves drawing samples with replacement to create an empirical distribution f

Author

rupsa mitra

Language

EN