-order selection criteria (both information theoretic based and bootstrap-based). Also, we show that for some models the performance of … the bootstrap-based criterion improves significantly by using the proposed partial-model selection searching method. Index … Terms— Model order estimation, model selection, information theoretic criteria, bootstrap 1. INTRODUCTION Several model …

modelling to integrated Bayesian modelling using MCMC, via bootstrapping and stochastic simulation. It also covers a broad range … the classical paradigm, by investigating the best way to estimate bootstrap confidence limits on recreational harvest and …

estimator (CME), the bootstrap and the more recently proposed hook-and-loop resampling based model selection. The advantages and …

for testing the existence of cointegrating relationships using the parametric bootstrap. In these procedures, ARFIMA …, including the F goodness-of-fit statistic, the Durbin–Watson statistic and estimates of the residual d. The bootstrap … not in general asymptotically pivotal, but implemented by the bootstrap, are shown to be consistent against alternatives …

studies found that using the asymptotic critical values produced severe size distortions. This paper presents simulation … reasonable power when the critical values are obtained via a parametric bootstrap. …

bootstrap augmented nonparametric procedure to precisely bound welfare when price data contains measurement error. The technique …

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 …. Alternatively, a double bootstrap procedure is used, where bias-corrected DEA efficiency scores, obtained by means of bootstrap in …