sigma_mle | R Documentation |
This is an internal function that computes the ith iteration for computing the squared imprecision estimates.
sigma_mle(i, s, sigma2, sigma.mu2, beta.bars, N, n)
i |
Iteration i. |
s |
Variance-covariance N x N matrix. |
sigma2 |
Estimated imprecisions for each method in an N vector |
sigma.mu2 |
Estimated process varinace. |
beta.bars |
Estimates or hypothesized values for the N betas. |
N |
No. of methods. |
n |
No. of items. |
See Jaech p. 185-186 equations 6.3.1 - 6.3.6.
Estimated squared imprecisions (variances) for the ith iteration.
Richard A. Bilonick
Jaech, J. L. (1985) Statistical Analysis of Measurement Errors. New York: Wiley.
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