Technical details of the multistep-multiscale bootstrap resampling

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...

- multiscale bootstrap resampling

روش‌های بازنمونه‌گیری بوت استرپ و جک نایف در تحلیل بقای بیماران مبتلا به تالاسمی ماژور

Background and Objectives: A small sample size can influence the results of statistical analysis. A reduction in the sample size may happen due to different reasons, such as loss of information, i.e. existing missing value in some variables. This study aimed to apply bootstrap and jackknife resampling methods in survival analysis of thalassemia major patients. Methods: In this historical coh...

A Simple Bootstrap Method for Time Series

In this paper we present a simple bootstrap method for time series. The proposed method is model free, and hence it enables us to

Pvclust: an R package for assessing the uncertainty in hierarchical clustering

SUMMARY Pvclust is an add-on package for a statistical software R to assess the uncertainty in hierarchical cluster analysis. Pvclust can be used easily for general statistical problems, such as DNA microarray analysis, to perform the bootstrap analysis of clustering, which has been popular in phylogenetic analysis. Pvclust calculates probability values (p-values) for each cluster using bootstr...