Studies on the iteration procedure in double bootstrap method have given a great impact on confidence interval performance. However, the procedure was claimed to be complicated and demand intensive ...

This library employs the statistical resampling method bootstrap to estimate a sampling distribution of a specific statistic from the provided sample of data ...

Bootstrap methods form a class of non‐parametric resampling techniques used to assess the variability and distributional properties of statistical estimators. By repeatedly drawing samples with ...

Do you know about BOOTSTRAP SAMPLING? It’s a dandy trick for developing confidence intervals when there aren’t straightforward formulas to estimate the variance of a measure/quantity/statistic you’ve ...

In 2023, a multivariate normality test based on a chi-square approximation was developed. This method assumes independence among Gaussian random variables, and defines the test statistic, denoted by Q ...

Reliable estimates of benthic metrics are fundamental for monitoring coral-reef ecosystems and informing management decisions. Here, we present an analytical approach to optimize the sampling design ...