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On Bootstrapping Using Smoothed Bootstrap

  • Sulafah BinhimdEmail author
Conference paper

Abstract

The standard bootstrap method was introduced as a resampling method for statistical inference; it is a computer based method for assigning measures of accuracy to statistical estimates. The bootstrap sample is obtained by randomly sampling n times, with replacement, from the original sample. Thereafter, different versions of bootstrap were developed such as smoothed bootstrap. The smoothed bootstrap method uses n observations to create n + 1 intervals, and then sample the observations from these intervals. This paper will discuss the smoothed bootstrap method and compare it to the standard method via simulation studies.

Keywords

Bootstrap Smoothed bootstrap Prediction interval Resampling method 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Faculty of Science, Department of StatisticsKing Abdulaziz UniversityJeddahSaudi Arabia

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