the increasing need for faster, and more efficient and scalable, permutation test and bootstrap algorithms. Seven … bootstrap and six permutation test algorithms coded in SAS (the largest privately owned software firm globally) are compared …. The fastest algorithms (“OPDY” for the bootstrap, “OPDN” for permutation tests) are new, use no modules beyond Base SAS …

different bootstrap tests. In the context of static linear regression modelstwo of these are shown to have serious size and …

requirements that are not always obvious to the non-expert user. Bootstrap DEA is a significant development of the past decade …, which could be extended to test almost any hypothesis in bootstrap DEA. Moreover, it enhances the intuition behind bootstrap …

-run asymmetry are generally oversized if the threshold parameter is estimated by conditional least squares and show that bootstrap …

The standard forms of bootstrap iteration are very computationally demanding. As a result, there have been several … attempts to alleviate the computational burden by use of approximations. In this paper, we extend the fast double bootstrap of … demands increase exponentially. In a series of simulation experiments, we show that the fast triple bootstrap improves on both …

perfect rank correlation between the actual and bootstrapped time series. We propose the Maximum Entropy Block Bootstrap which … preserves the rank correlation locally. Further, we also introduce the Maximum non-extensive Entropy Block Bootstrap to allow … Monte Carlo analysis where we bootstrap the distribution of the Dickey-Fuller test …