The U Test for Outlier Detection in Normal Distributions with Known σ

    Volume 28, Issue 2 (March 2000)

    ISSN: 0090-3973

    CODEN: JTEOAD

    Page Count: 3


    Wang, W

    Wang, T

    (Received 2 August 1999; accepted 24 November 1999)

    Abstract

    A new criterion is proposed for testing for outliers when the population standard deviation a is known. The advantage of this criterion is that no table is required and a fixed significance level can be selected. Compared with the current ASTM E 178 criterion for outlier rejection, under the same chance of making a Type I error, the U test has less chance of making a Type II error and therefore is a more powerful test.


    Paper ID: JTE12082J

    DOI: 10.1520/JTE12082J

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    Author
    Title The U Test for Outlier Detection in Normal Distributions with Known σ
    Symposium , 0000-00-00
    Committee E11