The application of the bootstrap to spatially correlated data has not been studied as widely as its application to time … implementing the bootstrap method. Kunsch (1989), Politis and Romano(1993, Liu and Singh(1992) have suggested bootstrapping methods …

) estimation and by Huber Proposal 2 M-estimation. We also apply bootstrap methods to these Levene type tests and compare by …

-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 …

(DEA) and the Malmquist Index in conjunction with the Bootstrap technique, using organ transplantation data from 2013-2021. …

A resampling method based on the bootstrap and a bias-correction step is developed for improving the Value-at-Risk (VaR …

(AIC) is used for model selection. Moreover, a likelihood ratio test is performed for the nested models. A bootstrap …

observations. Accordingly, we propose an i.i.d.-type bootstrap to determine the critical value for the test. …

We prove geometric ergodicity and absolute regularity of the nonparametric autoregressive bootstrap process. To this … sequence. This is achieved by using well-established coupling techniques. Then we apply the result to the bootstrap process and … bootstrap process has the desired properties. Moreover, by using some 'decoupling' argument, we show that the stationary density …