This paper shows how to bootstrap hypothesis tests in the context of the Parks (Efficient estimation of a system of … that the bootstrap outperforms Parks's top competitor. The Parks estimator has been a workhorse for the analysis of panel …

Abstract This paper employs a Monte Carlo study to compare the performance of equal-tailed bootstrap percentile- t … , symmetric bootstrap percentile- t , bootstrap percentile, and standard asymptotic confidence intervals in two distinct … heteroscedastic regression models. Bootstrap confidence intervals are constructed with both the XY and wild bootstrap algorithm …

The research deals with bootstrap interval estimation of wildlife population sizes frommultiple surveys in the Hluhluwe … using line transect sampling and mark-recapture methodsrespectively. The bootstrap and jackknife procedures were applied … separately to each ofthe datasets. Bootstrap estimates for each of the time point were obtained and theconfidence intervals of …

Since the introduction of bootstrap DEA there is a growing literature on applications which use this method, mainly for … hypothesis testing. It is therefore important to establish the consistency and evaluate the performance of bootstrap DEA. The few … coverage probabilities are not a good tool of assessment. In our study we evaluate the performance of bootstrap DEA using the …

This paper shows how to bootstrap hypothesis tests in the context of the Parks's (1967) Feasible Generalized Least … Squares estimator. It then demonstrates that the bootstrap outperforms FGLS(Parks)'s top competitor. The FGLS(Parks) estimator …