… Randomization confidence limits for a parameter are given by the range of values of that
parameter for which randomization testing gives a nonsignificant result. Monte Carlo methods …

… For biologists, probably the most widely known of the resampling methods is the bootstrap,
which generates a confidence interval for a given statistic by taking N samples (of size N) with …

… Bootstrapping is especially suitable for estimating population … the randomization model lead
to difficulties in making biological … Under the randomization model, the biological inference is …

… methods with Peter Bruce andlater bootstrap methods … onthe application of Monte Carlo
methods tosimulating elementary … in resampling methodsand bootstrap methods from statistics.…

… A null or randomization distribution is a … of a bootstrap distribution. When calculating p-values,
we can estimate the standard error using the standard deviation of the randomization …

… improvement makes possible a large-scale experimental study on bootstrap stopping … the
bootstrap concept and related work on stopping criteria for (mostly nonphylogenetic) bootstrap …

… many additional and important applications in the biological sciences as well as in other
fields… Implementation of the randomized bootstrap by Monte Carlo is straightforward. We sample …

… that is the multiple comparison procedures using bootstrap approaches. This paper aims to
… -Knott are performed alternatively by bootstrap methods and show greater power and better …

… bootstrap replicates was a thoughtful design decision by the authors. We believe that this
method represents the best current practice procedure … bootstrap replicate, a procedure that …

… In fact, Siegel provides examples of the application of the randomization technique to
many other statistical tests. 3. Bootstrapping, a method related to randomization tests, is an …