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 ...

This is a technique of "randomly re-sampling data from existing data while allowing duplicates." You can create new datasets of the same size as the original dataset many times. The most important ...

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 ...

Nonparametric methods form an important core of statistical techniques and are typically used when data do not meet parametric assumptions. Understanding the foundation of these methods, as well as ...