determined with a permutation procedure and a parametric bootstrap in the testsfor serial independence and linearity …We propose information theoretic tests for serial independence and linearity in time series. The test statisticsare …

determined with a permutation procedure and a parametric bootstrap in the tests for serial independence and linearity …We propose information theoretic tests for serial independence and linearity in time series. The test statistics are …

determined with a permutation procedure and a parametric bootstrap in the testsfor serial independence and linearity …We propose information theoretic tests for serial independence and linearity in time series. The test statisticsare …

We propose information theoretic tests for serial independence and linearity in time series against nonlinear … statistics is determined by means of bootstrap methods. The size and power properties of the tests are examined by simulation and …

We propose information theoretic tests for serial independence and linearity in time series against nonlinear … statistics is determined by means of bootstrap methods. The size and power properties of the tests are examined by simulation and …

. Three resampling techniques for calculating -values are shown to be asymptotically valid: bootstrap, random symmetrization … and permutation. Monte Carlo simulations show that the bootstrap performs less satisfactorily than the others in adhering … suggest that the homogeneity tests proposed in this article performs better than the bootstrap version of Bartlett's test. …

bootstrap methods to address this issue. Despite this, no software package in any language has yet offered the recently … implements nonparametric estimation along with multiple new bootstrap-assisted inference methods. It provides a range of … bootstrap techniques for constructing pointwise confidence intervals and simultaneous bands for parameter curves. Additionally …