CritK

The number of truncated observations; and

Compute critical value for the Grubbs--Beck statistic (<code>eta</code> = \(GB_r(p)\)) given a probability (p-value), which is the &#8220;pseudo-studentized&#8221; magnitude of \(r\)th smallest observation. The <code>CritK</code> 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 <code><a rd-options="" href="/link/RthOrderPValueOrthoT?package=MGBT&version=1.0.7" data-mini-rdoc="MGBT::RthOrderPValueOrthoT">RthOrderPValueOrthoT</a></code>.

critical values

MGBT

Compute the multiple Grubbs-Beck low-outlier test on positively distributed
data and utilities for noninterpretive U.S. Geological Survey annual peak-streamflow
data processing discussed in Cohn et al. (2013) <doi:10.1002/wrcr.20392> and
England et al. (2017) <doi:10.3133/tm4B5>.

William Asquith

Multiple Grubbs-Beck Low-Outlier Test

CritK function

Compute critical value for the Grubbs--Beck statistic (<code>eta</code> = \(GB_r(p)\)) given a probability (p-value), which is the &#8220;pseudo-studentized&#8221; magnitude of \(r\)th smallest observation. The <code>CritK</code> 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 <code><a rd-options='' href='RthOrderPValueOrthoT'>RthOrderPValueOrthoT</a></code>.

CritK: Compute Critical Value of Grubbs--Beck statistic (eta) Given Probability

Description

Usage

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See Also

Examples