Genetic divergence among cupuaçu accessions by multiscale bootstrap resampling

- multiscale bootstrap resampling

Technical details of the multistep-multiscale bootstrap resampling

Supplement Material to " Approximately unbiased tests of regions using multistep-multiscale bootstrap resampling. " 1

Approximately Unbiased Tests for Singular Surfaces via Multiscale Bootstrap Resampling

A class of approximately unbiased tests based on bootstrap probabilities is considered for the normal model with unknown expectation parameter vector, where the null hypothesis is represented as an arbitrary-shaped region with possibly singular boundary surfaces. We alter the sample size n of replicated datasets from the sample size n of the observed dataset, and calculate bootstrap probabiliti...

Approximately unbiased tests of regions using multistep-multiscale bootstrap resampling

1 Summary Approximately unbiased tests based on the bootstrap probabilities are considered for the exponential family of distributions with unknown expectation parameter vector, where the null hypothesis is represented as an arbitrary-shaped region with smooth boundaries. This problem is discussed previously in Efron and Tibshirani (1998), and a corrected p-value with second-order asymptotic ac...

Efficient Bootstrap Resampling

Bootstrap principle is briefly reviewed. Hall’s (1989) antithetic variates method for bootstrap is discussed and extended to more than two antithetic resampling processes. We illustrate the theory with a simulation study. The numerical results show that increasing the number of antithetic resampling processes produces significant smaller variances of the bootstrap estimator over the paired case.