Computes Grubbs' method of moments estimators of precision for the nonconstant bias model using original data values.

Share:

Description

This is an internal function that computes Grubbs' method of moments estimators of precision for the nonconstant bias model using original data values.

Usage

1
precision.grubbs.ncb.od(x, beta.bar.x = beta.bar(x))

Arguments

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.

beta.bar.x

Either estimates of beta or hypothesized values (one for each method in an N vector).

Details

See Jaech, p. 184.

Value

Grubbs' method of moments estimates of the squared imprecision (variances).

Author(s)

Richard A. Bilonick

References

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

See Also

precision.grubbs.cb.pd, ncb.od, cb.pd,lrt

Want to suggest features or report bugs for rdrr.io? Use the GitHub issue tracker.