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- W2046941367 abstract "Abstract A simple test (QP-test) for the simultaneous detection of two outliers among extreme values of small data sets is described. This test is analogous and complements Dixon's classic Q-test. It is based on the probability distribution of the product of two Qexp values (QP: quotient product). Each Qexp value is calculated from the data set considering the presence of one and ignoring the presence of the other suspect value. Critical QP-values, calculated by a stochastic (a Monte-Carlo) procedure, are given for data sets containing 5 to 16 observations (replicates) at 0.90, 0.95, and 0.99 confidence levels. Based on the same principle, tests for the simultaneous detection of more than two outliers can be readily designed." @default.
- W2046941367 created "2016-06-24" @default.
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- W2046941367 date "1993-02-01" @default.
- W2046941367 modified "2023-09-24" @default.
- W2046941367 title "A Test for the Simultaneous Detection of Two Outliers Among Extreme Values of Small Data Sets" @default.
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- W2046941367 doi "https://doi.org/10.1080/00032719308017392" @default.
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