as in Van der Weide (2014); and 2) to adapt the parametric bootstrap approach for mean squared error (MSE) estimation … parametric bootstrap MSE estimators are in line with the true MSEs under realistic scenarios …

inequality index. Its primary advantage is that the scale parameter does not need to be estimated to perform parametric bootstrap … suggest that this feature provides an advantage over the parametric bootstrap using the maximum likelihood estimator. We also … find that overall, a parametric bootstrap provides more accurate inference than its non or semi-parametric counterparts …

inequality index. Its primary advantage is that the scale parameter does not need to be estimated to perform parametric bootstrap … suggest that this feature provides an advantage over the parametric bootstrap using the maximum likelihood estimator. We also … find that overall, a parametric bootstrap provides more accurate inference than its non or semi-parametric counterparts …

rejection regions can be calculated by a simple parametric bootstrap procedure, when the sample size is small. The size and …

rejection regions can be calculated by a simple parametric bootstrap procedure, when the sample size is small. The size and …