Bootstrap

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August 31, 2024 4 min read Definitions

Bootstrap: A Computer-Intensive Re-sampling Technique

Statistics Mathematics Bootstrap Re-Sampling Sampling Distribution Statistic Data Analysis

Bootstrap is a computer-intensive technique of re-sampling the data to obtain the sampling distribution of a statistic, treating the initial sample as the population from which samples are drawn repeatedly and randomly, with replacement.

August 31, 2024 3 min read Definitions

Bootstrap Methods: Resampling Techniques in Statistics

Statistics Mathematics Bootstrap Resampling Statistics Confidence Interval Non-Parametric Methods

Bootstrap methods are resampling techniques that provide measures of accuracy like confidence intervals and standard errors without relying on parametric assumptions. These techniques are essential in statistical inference when the underlying distribution is unknown or complex.