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- W4246168047 abstract "The elementary theory of detection limits in chemical measurement systems evolved over a century, through the dedicated efforts of many individuals. This chapter deals with the scenario that is by far the most commonly encountered one: all three population parameters are unknown and must be estimated. It is shown that, in the content domain, decision levels and detection limits are scaled reciprocals of noncentral t variates. The theoretical PDFs for xC and xD were in excellent agreement with xC and xD histograms obtained by computer simulation. The full set of decision level and detection limit equations is presented, tested via Monte Carlo simulations, and found to be correct. The results of running the 10 simulations are summarized in a table to demonstrate that the Currie decision level and detection limit equations are correct. A detailed example is used to illustrate the equations and compare two detection limit standard protocols." @default.
- W4246168047 created "2022-05-12" @default.
- W4246168047 date "2017-02-24" @default.
- W4246168047 modified "2023-09-23" @default.
- W4246168047 title "If all Three Parameters are Unknown" @default.
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- W4246168047 doi "https://doi.org/10.1002/9781119189008.ch14" @default.
- W4246168047 hasPublicationYear "2017" @default.
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