Resampling methods can assess the robustness of results from "summary" of Statistics for Censored Environmental Data Using Minitab and R by Dennis R. Helsel
Resampling methods provide a way to test the stability of results by repeatedly sampling from the data. This technique involves generating multiple datasets by randomly selecting observations from the original dataset. By analyzing these resampled datasets, researchers can assess the variability and robustness of their results. One common resampling method is bootstrapping, which involves creating numerous bootstrap samples by sampling with replacement from the original dataset. This approach allows researchers to estimate the variability of a statistic without making assumptions about the underlying distribution of the data. By repeatedly resampling the data, researchers can examine the range of possible outcomes and evaluate the stability of thei...
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