Understanding censoring mechanisms is key for accurate results from "summary" of Statistics for Censored Environmental Data Using Minitab and R by Dennis R. Helsel
To ensure accurate results from statistical analysis of censored environmental data, it is essential to have a thorough understanding of the censoring mechanisms at play. Censoring occurs when the true value of a measurement falls outside the detection limits of the measuring instrument or method. This can lead to biased and misleading results if not properly accounted for in the analysis. There are two main types of censoring mechanisms: left censoring and right censoring. Left censoring occurs when the true value of a measurement is below the detection limit, while right censoring occurs when the true value is above the detection limit. In environmental data, censoring is common due to factors such as detection limits,...
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