Effect of sample size and number of boostrap samples

https://doi.org/10.25100/iyc.v15i1.2623

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Published: Jun 5, 2013
Issue: Vol. 15 No. 1 (2013): Ingeniería y Competitividad
Section Artículos de investigacion

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Authors

Isabel C. Ramírez Universidad Nacional de Colombia
Carlos Barrera Instituto Tecnológico Metropolitano
Juan C. Correa Juan C. Correa Universidad Nacional de Colombia
Abstract

A difficult problem to address is to determine the minimum sample size and the numbers of bootstrap samples to be used for obtain sampling distribution that makes a better fit to the true sampling distribution using the bootstrap methodology. We evaluate the effect of sample size and the number of bootstrap samples in the estimates of the mean, variance and some quantiles for probability distribution under different measures of skewness. We give some recommendations for using the non-parametric bootstrap

How to Cite
1.
Ramírez IC, Barrera C, Juan C. Correa JCC. Effect of sample size and number of boostrap samples. inycomp [Internet]. 2013 Jun. 5 [cited 2024 Dec. 22];15(1):93-101. Available from: https://revistaingenieria.univalle.edu.co/index.php/ingenieria_y_competitividad/article/view/2623

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