This page contains software referenced in the indicated papers. The code is freely available but is not designed to be robust. Please report any problems to Nathaniel Stevens.
- Danila O. Steiner S.H. and MacKay R.J. (2010), "Assessment of a Binary Measurement System in Current Use," Journal of Quality Technology, 42, 152-164.
R code is designed to determine feasible values of n and r (all notation is consistent with the above paper) in the assessment of a binary measurement system. The user-required inputs are:
- The size of the baseline sample N
- The proportion f of previously passed parts in the sample. We recommend
f = 0
- The guessed values of alpha, beta and pi_p
- The required standard deviations for the estimates of alpha and beta
Download the code in text format or in PDF
- Browne R., Steiner SH., MacKay RJ. (2010), "Leveraged Gauge R&R Studies," Technometrics, 52, 294-302.
- Augmented Measurement System Assessment - Matlab Code
Nathaniel Stevens, Ryan Browne, Stefan Steiner, Jock MacKay
- Planning and Analysis of Measurement Reliability Studies - Matlab Code
Stefan Steiner, Nathaniel Stevens, Ryan Browne and Jock MacKay
- Planning and Analysis of MSA studies with Baseline Data - Matlab Code
Nathaniel Stevens, Stefan Steiner, Ryan Browne and Jock MacKay
- Assessing Binary Measurement Systems and Inspection Protocols Utilizing Follow-up Data: Stefan Steiner, Yi Lu and Jock MacKay
- Measurement System Comparison - Matlab Code
Nathaniel Stevens, Stefan Steiner and Jock MacKay