Some hidden or hard-to-reach populations of interest to researchers are difficult to study with standard statistical methods because there is not a reliable list of members from which samples can be ...

To present a resampling approach to obtain confidence intervals (CIs) and the empirical distributions for the studentized regression residuals percentiles when used as cutoff points for overweight and ...

Re-sampling is the method of taking samples iteratively from the original data samples. The method of Re-sampling is a non-parametric method of statistical inference which means that the parametric as ...

Studies on the iteration procedure in double bootstrap method have given a great impact on confidence interval performance. However, the procedure was claimed to be complicated and demand intensive ...

This article introduces a resampling procedure called the truncated geometric bootstrap method for stationary time series process. This procedure is based on resampling blocks of random length, where ...

This is a very useful R package to implement the Mixed Residual Bootstrap Method. For more detailed information regarding this method, please refer to the original research paper. S M S Lee, Y Wu; A ...