sigma.mle {merror}R Documentation

Computes the ith iteration for computing the squared imprecision estimates.

Description

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

Usage

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 rab@nauticom.net

References

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


[Package merror version 1.0 Index]