Description Usage Arguments Value Author(s) Source References See Also Examples
Compute critical value for the Grubbs–Beck statistic (eta
= GB_r(p)) given a probability (p-value), which is the “pseudo-studentized” magnitude of rth smallest observation. The CritK
function is the same as the GB_r(p) quantile function. In distribution notation, this is equivalent to saying GB_r(F) for nonexceedance probability F \in (0,1), and cumulative distribution function F(GB_r) is the value that comes from RthOrderPValueOrthoT
.
1 | CritK(n, r, p)
|
n |
The number of observations; |
r |
The number of truncated observations; and |
p |
The probability value (p-value). |
The critical value of the Grubbs–Beck statistic (eta
= GB_r(p)).
W.H. Asquith consulting T.A. Cohn sources
LowOutliers_jfe(R).txt
, LowOutliers_wha(R).txt
, not P3_089(R).txt
—Named: CritK
Cohn, T.A., 2013–2016, Personal communication of original R source code: U.S. Geological Survey, Reston, Va.
1 | CritK(58, 2, .001) # CPU heavy: -3.561143
|
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