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Percentage Points for the RST Many Outlier Procedure

Bernard Rosner
Technometrics
Vol. 19, No. 3 (Aug., 1977), pp. 307-312
DOI: 10.2307/1267700
Stable URL: http://www.jstor.org/stable/1267700
Page Count: 6
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Percentage Points for the RST Many Outlier Procedure
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Abstract

This article is concerned with estimating percentage points for the RST (R-statistic) many outlier procedure. This procedure has been introduced in [5] and a brief discussion is given in Section 1. The algorithm used to estimate the percentage points is given in Section 2. Percentage points are given for α = .10, .05, .01, N = 10(5) 20(10) 50(25) 100, k = 2; N = 20(10) 50(25) 100, k = 3; N = 20(10) 50(25) 100, k = 4. Two examples illustrating the use of the procedure are given in Section 3. Finally some potential weaknesses of the method are discussed in Section 4; namely, when the actual number of outliers in a sample is larger than the maximum number of outliers assumed by the procedure. Alternatives are proposed for possibly modifying the procedure to allow for this contingency.

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