EMSE Engineering Management and Systems Engineering

Dr. Thomas A. Mazzuchi
Professor of Operations Research and of Engineering Management

Faculty ProfileExpertiseJournal & OtherTeaching Interests

Interests:

Probabilistic Risk Assessment

Reliability Analysis

Systems Engineering

Bayesian Analysis

Expert Judgment

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

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Bayesian Analysis:

  1. L. Burzala and T. A. Mazzuchi. “Uncertainty modeling in dose response using non-parametric Bayes: bench test results.” Uncertainty Modeling in Dose Response: Bench Testing Environmental Toxicity, (R. Cooke, ed.), Wiley, 2009, pp. 111-160.
  2. T. A. Mazzuchi, E. Soofi and R. Soyer. “Bayes estimate and inference for entropy and information index of fit.” Econometric Review, Vol. 27, No. 4-6, 2008 pp. 428-456.
  3. C. Bunea, T.A. Mazzuchi, S. Sarkani, and H-C. Chang. “Application of modern reliability database techniques to military system data.” Reliability Engineering and System Safety, Vol. 93, No. 1, 2008, pp. 14-27.
  4. X. Liu and T. A. Mazzuchi.“The optimal Burn-in: State of the art and new advances in cost function formulation.” Recent Advances in Reliability and Quality in Design, (H. Pham, ed.), Springer-Verlag, London, 2008, pp. 137-181.
  5. C. Bunea and T. A. Mazzuchi. “Competing failure modes in accelerated life testing.” Journal of Statistical Planning and Inference, Vol 136, Issue 5, 2006, pp. 1608-1620.
  6. P. Szwed, J. R. van Dorp, J.R.W. Merrick, T.A. Mazzuchi, and A. Singh. “A Bayesian paired comparison approach for relative accident probability assessment with covariate information.“ European Journal of Operational Research, Vol. 169, Issue 1, 2006, pp. 157-177.
  7. J. R. van Dorp and T. A. Mazzuchi. “A General Bayes Weibull inference model for accelerated life testing." Reliability Engineering and System Safety. Vol. 90, Issues 2-3, 2005, pp.140-147.             
  8. C. Bunea and T. A. Mazzuchi. “Sensitivity analysis of accelerated life tests with competing failure modes.” Modern Statistical and Mathematical Methods in Reliability (A. Wilson, N. Limnios,  S. Keller-McNulty and Y. Armijo, Eds), Word Scientific, New York, 2005, pp. 105-120.
  9. J. R. W. Merrick, R. Soyer, and T. A. Mazzuchi. “Are maintenance practices for railroad tracks effective?" Journal of the American Statistical Association, Vol. 100, No 469, 2005, pp 17-25.
  10. J. R. van Dorp and T. A. Mazzuchi. “A general Bayes exponential inference model for accelerated life testing." Journal of Statistical Planning and Inference, Vol 119, Issue 1, 2004, pp 55-74.
  11. P. A. Keiller and T. A. Mazzuchi. “Improving Software reliability predictions.” Reliability Review: the RM Engineering Journal, Vol. 23, No. 1, 2003, pp 18-27.
  12. N. D. Singpurwalla, T. A. Mazzuchi, S. Özekici, and R. Soyer. “Stochastic process models for reliability in dynamic environments." Handbook of Statistics: Statistics in Industry, Vol. 22, (C. R. Rao and R. Khattree, Eds.), Elsevier Science, New York, 2003, pp. 1109-1129.
  13. J. R. W. Merrick, R. Soyer, and T. A. Mazzuchi. “A Bayesian semi-parametric analysis of the reliability and maintenance of machine tools." Technometrics, Vol. 45, No. 1, 2003, pp. 58-69.
  14. D. Perlstein, W. H. Jarvis, and T. A. Mazzuchi. “Bayesian calculation of cost-optimal burn-in test duration for the mixed exponential populations." Reliability Engineering and System Safety, Vol. 72, Issue 3, 2001, pp 265-273.
  15. P. A. Keiller and T. A. Mazzuchi. “Enhancing the predictability of two popular software reliability growth models." South African Computer Journal, Vol. 24, 1999,  pp. 105-109.
  16. Erkanli, T. A. Mazzuchi, and R. Soyer. “Bayesian computations for reliability growth modeling."  Technometrics, Vol. 40, No. 1, 1998, pp. 14-23.
  17. T. A. Mazzuchi and R. Soyer.“Bayesian reliability modeling and inference under ordering restrictions." Frontiers in Reliability, Vol. 4 in the Series in Quality, Reliability, and Engineering Statistics (A. P. Basu, S. K. Basu, and S. Mukhopadhyay, eds.), Word Scientific, London, 1998, pp. 217-230.
  18. I. F. Somerville, D. L. Dietrich, and T. A. Mazzuchi. “Bayesian reliability analysis using the Dirichlet prior distribution with emphasis on accelerated life testing run in random order." Nonlinear Analysis, Theory, Methods, and Applications, Vol. 30, Issue 7, 1997, pp. 4415-4423 (taken from refereed proceedings of the Second World Congress on Nonlinear Analysis). 
  19. J. R. van Dorp, T. A. Mazzuchi, and R. Soyer. “Sequential inference and decision making for single mission systems development." Journal of Statistical Planning and Inference, Vol. 62, Issue 2, 1997, pp. 207-218.
  20. T. A. Mazzuchi, R. Soyer and A. Vopatek. “Bayesian Inference for the Weibull acceleration model."  Lifetime Data Analysis, Vol. 3, No. 1, 1997, pp. 1-13.
  21. J. R. van Dorp, T. A. Mazzuchi, G. E. Fornell, and L. R. Pollock. “A Bayes approach to step-stress accelerated life testing." IEEE Transactions on Reliability, Vol. 45, Issue 3, 1996, pp. 491-498.
  22. T. A. Mazzuchi and R. Soyer. “Bayesian perspectives on replacement strategies." Reliability Engineering and System Safety, Vol. 51, Issue 3, 1996, pp. 295-303.
  23. T. A. Mazzuchi and R. Soyer. “A Bayes methodology for assessing product reliability during development testing." IEEE Transactions on Reliability, Vol. 42, Issue 3, 1993, pp. 503-510.
  24. T. A. Mazzuchi and R. Soyer. “Determination of stopping criteria during product development."  Advances in Reliability (A. P. Basu, ed.), North Holland, Amsterdam, 1993, pp. 269-280.
  25. T. A. Mazzuchi and R. Soyer. “A dynamic general linear model for inference from accelerated life testing." Naval Research Logistics Quarterly, Vol. 39,  Issue 6, 1992, pp. 757-773. 
  26. E. N. Pistikopoulos and T. A. Mazzuchi. “A novel flexibility analysis approach for processes with stochastic parameters." Computers and Chemical Engineering, Vol. 14, Issue 9, 1992, pp. 991-1000.
  27. E. Pistikopoulos, T. A. Mazzuchi, and C. van Rijm “Flexibility, reliability, and availability analysis of manufacturing processes: A unified approach." Process Technology Proceedings, 9: Computer Applications in Chemical Engineering, (H. T. Bussemaker and P. D. Ledema, eds.), Elsevier, Amsterdam, 1990, pp. 233-237.
  28. T. A. Mazzuchi and R. Soyer. “Reliability Engineering." The Automated Manufacturing Handbook: Technology and Management, (D. Cleland and B. Bidanda, eds), TAB Professional and Reference Books, Blue Ridge Summit, PA, 1990, pp. 633-651.
  29. T. A. Mazzuchi and R. Soyer. “Assessment of machine tool reliability using a proportional hazards model." Naval Research Logistics Quarterly, Vol. 36, Issue 6, 1989, pp. 765-777.
  30. T. A. Mazzuchi and R. Soyer. “A Bayes empirical Bayes model for software reliability." IEEE Transactions on Reliability, Vol. 37, Issue 2, 1988, pp. 248-254.  
  31. T. A. Mazzuchi and N. D. Singpurwalla. “Software reliability models." Handbook of Statistics, Vol. 7: Quality Control and Reliability (C. R. Rao, ed.), North Holland Publishing Co., Amsterdam, 1988, pp. 73-98.
  32. T. A. Mazzuchi and N. D. Singpurwalla. “Inference from accelerated life tests-some recent results", in Accelerated Life Testing and Experts' Opinions in Reliability, (D. V. Lindley and A. Clarotti, eds.), North Holland Publishing Co., Amsterdam, 1988, pp. 181-192.
  33. T. A. Mazzuchi and N. D. Singpurwalla. “Estimating monotone failure rate functions: A Bayesian nonparametric approach", in Theory of Reliability (A. Serra and R. E. Barlow, eds.), North Holland Publishing Co., Amsterdam, 1986, pp. 200-205.
  34. T. A. Mazzuchi and N. D. Singpurwalla. “A Bayesian approach to inferences for monotone failure rates." Statistics and Probability Letters, Vol. 3, Issue 3, 1985,  pp. 135-141.
  35. T. A. Mazzuchi and N. D. Singpurwalla. “Some Bayesian approaches for estimating the failure rate" (with N. D. Singpurwalla), in Electronic Systems Effectiveness and Life Cycle Costing, NATO ASI Series (J. K. Skwerzynski, ed.), Vol. F3, Springer-Verlag Berlin, Heidelberg, 1983, pp. 75-92.

SEAS 125 Years
Engineering Management and Systems Engineering
School of Engineering and Applied Science
The George Washington University
1776 G Street NW, Suite 101
Washington, DC 20052
Email:  mazzu@gwu.edu
Phone: (202) 994-7541