Assessment of a binary measurement system in current use

Journal of Quality Technology

Volumn 42, Issue 2, 2010, Pages 152-164

  Danila, Oana ^a   Steinerr, Stefan H ^a   Mackay, R Jock ^a  

^a UNIVERSITY OF WATERLOO   (Canada)

Author keywords

Conditional sampling; Gold standard; Inspection; Latent class analysis; Misclassification rates pass Fail

Indexed keywords

ABRASIVE CUTTING; GOLD; INSPECTION;

BINARY MEASUREMENTS; CONDITIONAL SAMPLING; CONFORMING RATE; GOLD STANDARDS; LATENT CLASS ANALYSIS; LATENT CLASS MODEL; MISCLASSIFICATION RATES; QUALITY IMPROVEMENT;

BINS;

EID: 79951926458     PISSN: 00224065     EISSN: None     Source Type: Journal    
DOI: 10.1080/00224065.2010.11917813     Document Type: Article

References (19)

1. Automotive Industry Action Group (AIAG) (2002). Measurement Systems Analysis, 3rd edition. Southfield, MI.
2. BOYLES, R. A. (2001). "Gage Capability for Pass-Fail Inspection". Technometrics 43, pp. 223-229.
3. BROWNE, R.; MACKAY, R. J.; and STEINER, S. H. (2009). "Improved Measurement System Assessment for Processes with 100% Inspection". Journal of Quality Technology 41, pp. 376-388.
4. BROYDEN, G. C. (1970). "The Convergence of a Class of Double Rank Minimization Algorithms. Parts I and II". Journal of Institute of Mathematics and Its Applications 6, pp. 76-90 and pp. 222-236.
5. DANILA, O.; STEINER, S. H.; and MACKAY, R. J. (2008). "Assessing a Binary Measurement System". Journal of Quality Technology 40(3), pp. 310-318.
6. DEMPSTER, A. P.; LAIRD, N. M.; and RUBIN, D. B. (1977). "Maximum Likelihood from Incomplete Data Via the EM Algorithm". Journal of the Royal Statistical Society, Series B 39, pp. 1-38.
7. FARNUM, N. R. (1994). Modern Statistical Quality Control and Improvement. Belmont, CA: Duxbury Press.
8. HUI, S. L. and WALTER, S. D. (1980). "Estimating the Error Rates of Diagnostic Test". Biometrics 36, pp. 167-171
9. LAZARSFELD, P. F. and HENRY, N. W. (1968). Latent Structure Analysis. Boston, MA: Houghton Mifflin Co.
10. NELDER, J. A. and MEAD, R. (1965). "A Simplex Method for Function Minimization". Computer Journal 7, pp. 308-313.
11. PEPE, M. S. (2003). The Statistical Evaluation of Medical Tests for Classification and Prediction, 1st edition. New York, NY: Oxford University Press Inc.
12. QU, Y.; TAN M.; and KUTNER, M. H. (1996). "Random Effects Models in Latent Class Analysis for Evaluating Accuracy of Diagnostic Tests". Biometrics 52, pp. 797-810. (Pubitemid 26296059)
13. R DEVELOPMENT CORE TEAM. (2005)."R: A Language and Environment for Statistical Computing,"R Foundation for Statistical Computing, http://www.R-project.org.
14. SCHILLING, E. G. (1982). Acceptance Sampling in Quality Control. New York, NY: Marcel Dekker.
15. TORRANCE-RYNARD, V. L. and WALTER, S. D. (1997). Effects of Dependent Errors in the Assessment of Diagnostic Test Performance. Statistics in Medicine 16, pp. 2157-2175. (Pubitemid 27429764)
16. VACEK, P. (1983). The Effect of Conditional Dependence on the Evaluation of Diagnostic Tests. Biometrics 41, pp. 959-968.
17. VAN WIERINGEN, W. N. and De Mast, J. (2008). "Measurement System Analysis for Binary Data". Technometrics 50, pp. 468-478.
18. VAN WIERINGEN, W. N. and VAN DER HEUVEL, E. R. (2005). A Comparison of Methods for the Evaluation of Binary Measurement Systems. Quality Engineering 17, pp. 495-507.
19. WALTER, S. D. and IRWIG, L. M. (1988). Estimation of Test Error Rates, Disease Prevalence and Relative Risk for Misclassified Data: A Review. Journal of Clinical Epidemiology 41, pp. 923-937.