Environmental Chemistry I
Bootstrap methods are statistical techniques that involve resampling data to estimate the distribution of a statistic without requiring strong assumptions about the underlying population. These methods allow researchers to generate multiple simulated samples from a single dataset, providing valuable insights into the reliability and variability of estimates, especially in environmental chemistry where data may be limited or noisy.
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