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

Description Usage Arguments Details Value Author(s) References

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.


merror documentation built on May 29, 2017, 5:53 p.m.

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