precision.mle.ncb.od | R Documentation |
This is an internal function that computes iterative approximation to mle precision estimates for nonconstant bias model using original data.
precision.mle.ncb.od(x, M = 20, beta.bars = beta.bar(x), jaech.errors = FALSE)
x |
A matrix or numeric data.frame consisting of an n (no. of items) by N (no. of methods) matrix of measuremnts. N must be >= 3 and n > N. |
M |
Maximum no. of iterations for convergence. |
beta.bars |
Estimates or hypothesized values for the betas. |
jaech.errors |
TRUE replicates the minor error in Jaech's Fortran code to allow comparison with his examples. |
Provides iterative approximation to MLE precision estimates for NonConstant Bias model using Original Data. See Jaech, p. 185-186.
sigma2 |
Estimated squared imprecisions (variances) for methods. |
sigma.mu2 |
Estimated process variance. |
Richard A. Bilonick
Jaech, J. L. (1985) Statistical Analysis of Measurement Errors. New York: Wiley.
precision.grubbs.ncb.od
,precision.grubbs.cb.pd
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