GI2 {GRRGI}R Documentation

MLGI Output From Study 2

Description

Output from function MLGI, a matrix of the variance estimates from study 2 of Hamada and Weerandi

Usage

data(GI2)

Format

A matrix with 17 rows on the following 4 variables.

ML
a numeric vector of Maximum Likelihood estimates
Lower GI
a numeric vector of Generalized Inference 95 percent Lower confidence limits
Mid GI
a numeric vector of Generalized Inference midpoint values
Upper GI
a numeric vector of Generalized Inference 95 percent Upper confidence limits

Details

GI2 is the output from function MLGI using study 2 data of Hamada and Weerandi. It gives the restricted maximum likelihood estimates of variance and the confidence intervals using the method of generalized inference as discussed in Hamada and Weerandi. This object can be used to demonstrate the graphing functions.

Source

Study 2 data is from Michael Hamada and Sam Weerandi (July 2000) Measurement System Assessment Via Generalized Inference, Journal of Quality Technology 32, 241-253

Examples

data(GI2)
data(sat2)
ratiograph(sat2,GI2)
RRgraph(sat2,GI2)

[Package GRRGI version 1.1 Index]