Last data update: 2014.03.03
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R: Compute maximum likelihood estimates of precision.
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
mle(v, r, ni)
Arguments
v |
Variance-Covariance matrix for the n x N items by methods measurement data.
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r |
Initial estimates of imprecision, usually Grubbs.
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ni |
No. of items measured.
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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.
Results
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