mle: Compute maximum likelihood estimates of precision.

Description

This is an internal function that computes the maximum likelihood estimates of precision for the constant bias model using paired data.

Usage

1
mle(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.

Value

An N vector containing the maximum likelihood estimates of precision.

Author(s)

Richard A. Bilonick

References

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


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