process.var.mle: Compute process variance.

Description Usage Arguments Details Value Author(s) References

Description

This is an internal function to compute the process variance.

Usage

1
process.var.mle(sigma2, s, beta.bars, N, n)

Arguments

sigma2

Estimated imprecisions for each method in an N vector.

s

Variance-covariance N x N matrix.

beta.bars

Estimates or hypothesized values for the N betas.

N

No. of methods.

n

No. of items.

Details

See Jaech p. 186 equations 6.37 - 6.3.10.

Value

Estimated process variance.

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.