Software
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 shsteiner "AT" uwaterloo.ca.
- 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 (danila.txt) or in Word (danila.doc).
- Browne R., Steiner SH., MacKay RJ. “Leveraged Gauge R&R Studies” accepted for publication by Technometrics, March 2010.
- Stevens N, Browne R, Steiner SH and MacKay RJ. “Augmented Measurement System Assessment” accepted by the Journal of Quality Technology, August 2010.
- Example application showing analysis (pdf file)
- Matlab code for maximum likelihood analysis (MLEresults.m)
- Matlab code for augmented MSA planning (listplans.m)
- Augmented Measurement System Assessment Matlab Code
Stevens N, Browne R, Steiner SH and MacKay RJ. “Augmented Measurement System Assessment” accepted by the Journal of Quality Technology, August 2010.
- Planning and Analysis of Measurement Reliability Studies Matlab Code
Stefan Steiner, Jock MacKay, Nathaniel Stevens and Ryan Browne
- Planning Measurement System Assessment Studies with Baseline Information
Stefan Steiner, Jock MacKay and Nathaniel Stevens