Exploring the statistical advantages of nondestructive evaluation over destructive testing

Journal of Quality Technology

Volumn 40, Issue 3, 2008, Pages 259-267

  Reese, C Shane ^a   Deininger, Paul ^b   Hamada, Michael S ^b   Krabill, Robert ^b  

^a BRIGHAM YOUNG UNIVERSITY   (United States)

^b LOS ALAMOS NATIONAL LABORATORY   (United States)

Author keywords

Bayesian; Continuous and discrete measurements; Metropolis hastings algorithm

Indexed keywords

QUALITY CONTROL;

BAYESIAN; CONTINUOUS MEASUREMENTS; DESTRUCTIVE TESTING; METROPOLIS-HASTINGS ALGORITHM; NON DESTRUCTIVE EVALUATION; SAMPLE SIZES;

NONDESTRUCTIVE EXAMINATION;

EID: 47149110683     PISSN: 00224065     EISSN: None     Source Type: Journal    
DOI: 10.1080/00224065.2008.11917732     Document Type: Article

References (16)

1. BUONACCORSI, J. P. (1996). "Measurement Error in the Response in the General Linear Model". Journal of the American Statistical Association 46, pp. 633-642.
2. CASELLA, G. and GEORGE, E. (1992). "Explaining the Gibbs Sampler". The American Statistician 46, pp. 167-174.
3. CHIB, S. and Greenberg, E. (1995). "Understanding the Metropolis-Hastings Algorithm". The American Statistician 49, pp. 327-335.
4. DEGROOT, M. H. (1970). Optimal Statistical Decisions. McGraw-Hill, New York, NY.
5. EKHOLM, A. and PALMGREN, J. (1982). "A Model for a Binary Response with Misclassification". In GLIM-82: Proceedings of the International Conferences on Generalized Linear Models (ed. R. Gilcrist), Springer, Heidelberg, pp. 128-143.
6. FUJISAWA, H. and IZUMI, S. (2000). "Inference about Misclassification Probabilities from Repeated Binary Responses". Biometrics 56, pp. 706-711.
7. GRAVES, T. L. (2003). "An Introduction to YADAS". http:// yadas.lanl.gov
8. GRAVES, T. L. (2007). "Design Ideas for Markov Chain Monte Carlo Software". Journal of Computational and Graphical Statistics 16, pp. 24-43.
9. HUI, S. L. and WALTER, S. D. (1980). "Estimating the Error Rates of Diagnostic Tests". Biometrics 36, pp. 167-171.
10. MONTGOMERY, D. C. and RUNGER, G. C. (1993a), "Gauge Capability and Designed Experiments. Part I: Basic Methods". Quality Engineering 6, pp. 107-115.
11. MONTGOMERY, D. C. and RUNGER, G. C. (1993b), "Gauge Capability Analysis and Designed Experiments. Part II: Experimental Design Models and Variance Component Estimation". Quality Engineering 6, pp. 289-305.
12. NEWTON, J. (1991). TIMESLAB: A Time Series Laboratory. Duxbury, New York, NY.
13. OLIN, B. D. and MEEKER, W. Q. (1996). "Applications of Statistical Methods to Nondestructive Evaluation (with Discussion)". Technometrics 38, pp. 95-130.
14. PRESCOTT, G. J. and GARTHWAITE, P. H. (2002). "A Simple Bayesian Analysis of Misclassified Binary Data with a Validation Substudy". Biometrics 58, pp. 454-458.
15. R DEVELOPMENT CORE TEAM (2004). "R: A Language and Environment for Statistical Computing". Vienna: R Foundation for Statistical Computing. (http://www.R-project.org).
16. SCHEFFÉ, H. (1959). The Analysis of Variance. Wiley, New York, NY.