Comparision of bootstrap and analytical errors of estimated parameters of background distribution of the population of the Ural region

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Data analysis methods based on data resampling are becoming popular today. Particularly, the bootstrap method is used in econometrics [1], ecology and biology [2, 3] to estimate such statistical values as standard deviation, confidence interval, etc [4]. The comparison of analytical and bootstrap errors of parameters of background distribution is presented in this work. Bootstrap results are in good agreement with the analytical ones.

Bootstrap, statistical model, epr measurements

Короткий адрес: https://sciup.org/147158844

IDR: 147158844

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