Estimating percentiles requires specialized methods from "summary" of Statistics for Censored Environmental Data Using Minitab and R by Dennis R. Helsel
When dealing with censored environmental data, it is important to understand the challenges presented in estimating percentiles. Traditional methods for estimating percentiles may not be suitable for censored data, as they do not account for the presence of non-detects or values below the detection limit. In these cases, specialized methods are required to accurately estimate percentiles. One common approach for estimating percentiles in censored data is the Kaplan-Meier method, which takes into account the presence of non-detects and censored values. This method calculates the probability of exceeding a certain threshold based on the observed data and the known detection limits. By considering the censored values, the Kaplan-Meier method provides a more accurate estimate of percentiles in censored data...
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