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Last data update: 2014.03.03

R: Computes the ith iteration for computing the squared...

sigma_mle

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Computes the ith iteration for computing the squared imprecision estimates.

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.