mle.se2: Compute squared standard errors for imprecision estimates for...

mle.se2R Documentation

Compute squared standard errors for imprecision estimates for the constant bias model using paired data.

Description

This is an internal function that computes squared standard errors for imprecision estimates of the constant bias model using paired data.

Usage

mle.se2(v, r, ni)

Arguments

v

Variance-Covariance matrix for the n x N items by methods measurement data.

r

Initial estimates of imprecision, usually Grubbs

ni

No. of items measured

Details

Computes the squared standard errors for the squared precisions. Before calling this function, compute the MLE's

Value

An N+1 symmetric H matrix. See p. 201 of Jaech, 1985, eq. 6.4.2.

Author(s)

Richard A. Bilonick

References

J. L. Jaech, Statistical Analysis of Measurement Errors, Wiley, New York: 1985.


merror documentation built on Aug. 29, 2023, 5:06 p.m.

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