Computes the ith iteration for computing the squared imprecision estimates.

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Description

This is an internal function that computes the ith iteration for computing the squared imprecision estimates.

Usage

1
sigma_mle(i, s, sigma2, sigma.mu2, beta.bars, N, n)

Arguments

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.

Details

See Jaech p. 185-186 equations 6.3.1 - 6.3.6.

Value

Estimated squared imprecisions (variances) for the ith iteration.

Author(s)

Richard A. Bilonick

References

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

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