. Alternatively, a double bootstrap procedure is used, where bias-corrected DEA efficiency scores, obtained by means of bootstrap in …This study examines technical efficiency of Critical Access Hospitals (CAH) using a two-stage approach and bootstrap … second stage, efficiency scores are regressed on environmental variables using a truncated regression with bootstrap …

relative and absolute error variance across a variety of bootstrap procedures for each combination of conditions. It was found … suggested with respect to nested designs. This study provides support for the use of bootstrap procedures for estimating …

principles related to the expectation maximization (EM) algorithm and bootstrap methods. We formulate the criteria for three …

distribution of alpha by finite normal mixture model. We introduce the parametric bootstrap procedure to determine the number of …

(Rosenheck et al, 1997).In part III, we consider the combination of bootstrap and Bayes inferences. In the case of independent … identically distributed samples, the simple bootstrap yields confidence limits that are asymptotically correct to the first order … the bootstrap. A discrepancy statistic based on the difference of model and bootstrap estimates of variance is developed …

distribution is shown to be a scaled chi-quare distribution. Bootstrap and empirical likelihood based inferential methods for the …

under two ROC curves (AUCs) in the interested specificity interval. In this thesis, we have proposed bootstrap and empirical … simulation studies to compare four proposed EL and bootstrap based intervals. …