Difference between revisions of "Statistical Bootstrapping"
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'''Description:''' Bootstrapping is a technique from statistics for estimating the sampling error present in a statistical estimator. The simplest version estimates sampling error by resampling the original data. This model demonstrates how to do this in Analytica. | '''Description:''' Bootstrapping is a technique from statistics for estimating the sampling error present in a statistical estimator. The simplest version estimates sampling error by resampling the original data. This model demonstrates how to do this in Analytica. | ||
Latest revision as of 08:24, 17 January 2023
Example model
Description: Bootstrapping is a technique from statistics for estimating the sampling error present in a statistical estimator. The simplest version estimates sampling error by resampling the original data. This model demonstrates how to do this in Analytica.
Keywords: Bootstrapping, sampling error, re-sampling
Download: Bootstrapping.ana
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