mle.se2 | R Documentation |
This is an internal function that computes squared standard errors for imprecision estimates of the constant bias model using paired data.
mle.se2(v, r, ni)
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 |
Computes the squared standard errors for the squared precisions. Before calling this function, compute the MLE's
An N+1 symmetric H matrix. See p. 201 of Jaech, 1985, eq. 6.4.2.
Richard A. Bilonick
J. L. Jaech, Statistical Analysis of Measurement Errors, Wiley, New York: 1985.
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