Mathematics and StatisticsFrancis (Jave) Pascual

Francis (Jave) Pascual

  1. Emeritus
  2. Associate Professor
Email Addressjave@wsu.edu
Website

Biography

Education

Current Research

  • Engineering Reliability
  • Failure-Time Models and Data Analysis
  • Competing Risks
  • Accelerated Life Test Planning
  • Quality Control

Professional Awards and Recognition

  • Distinguished Paper, 2009, for the article “First-Order Statistic-Based Control Charts for Monitoring Weibull Percentiles” presented by the Decision Science Institute at its 40th Annual Meeting.
  • Outstanding Mentor Nominee, 2009. 14th Annual Women & Leadership Forum, Washington State University.
  • Outstanding Statistical Application Award, 2001 (The American Statistical Association) for the article “Estimating Fatigue Curves with the Random Fatigue-Limit Model”, Technometrics, 41, 277-290. Abstract.
  • The Jack Youden Prize for Best Expository Paper in Technometrics, 2000 (Chemical and Process Industries Division of the American Society for Quality)
  • The Frank Wilcoxon Prize for the Best Practical Application Paper in Technometrics, 2000 (Chemical and Process Industries Division of the American Society for Quality)
  • Dan Mowrey Consulting Excellence Award, (Department of Statistics, Iowa State University)
  • Teaching Excellence Award, (Department of Statistics, Iowa State University)
  • Teaching Excellence Award, (Department of Mathematics, Iowa State University)

Publications

  • Meeker, W. Q. and Pascual, F. G. (2027). Advanced Statistical Methods for Reliability Data, John Wiley & Sons.
  • Navelski, J., Badruddoza, S., McCluskey, J., and Pascual, F. G. (2026).  Estimating Ideology and Influence in Social Media Networks:  Opinions on Genome Editing of Livestock. Applied Network Science 11, 33 (2026). DOI.
  • Song, X., Odongo, K., Pascual, F. G., and Hong, Y. (2024). A Comprehensive Case Study on the Performance of Machine Learning Methods on the Classification of Solar Panel Electroluminescence Images. Journal of Quality Technology, Vol. 57, No. 1. Preprint.
  • Meeker, W. Q., Escobar, L. A., Pascual, F. G., Hong, Y., Liu, P., Falk, W. M., and Ananthasayanam, B. (2024). Modern Statistical Models and Methods for Estimating Fatigue-Life and Fatigue-Strength Distributions from Experimental Data. (To appear in) Statistical Science. Preprint.
  • Pascual, F. G. and Navelski, J. P. (2023). Monitoring Reliability under Competing Risks Using Field Data. Journal of Quality Technology, Vol. 55, No. 2, pages 123-139. DOI.
  • Meeker, W. Q., Escobar, L. A., and Pascual, F. G. (2021). Statistical Methods for Reliability Data (2nd Edition), John Wiley & Sons.
  • Pascual, F. G. and Akhundjanov, S. B. (2020). Copula-Based Control Charts for Monitoring Multivariate Poisson Processes with Application to Hepatitis C Counts. Journal of Quality Technology, Volume 52, Issue 2.
  • Pascual, F. (2010). EWMA Charts for the Weibull Shape Parameter. Journal of Quality Technology, Vol. 42, No. 4, 400-416
  • Pascual, F. G. (2010). Accelerated Life Test Planning With Independent Lognormal Competing Risks. Journal of Statistical Planning and Inference, Vol 140, 1089-1100.
  • Pascual, F. G. (2008). Accelerated Life Test Planning with Independent Weibull Competing Risks. IEEE Transactions on Reliability, Vol 57, 435-444.
  • Pascual, F. G. (2008). Errata to Accelerated life test planning with independent Weibull competing risks with known shape parameter. IEEE Transactions on Reliability, Vol 57, 531-532.
  • Pascual, F. G. (2007). Accelerated Life Test Planning with Independent Weibull Competing Risks with Known Shape Parameter. IEEE Transactions Reliability, Vol 56, 85-93.
  • Pascual, F. G., Meeker, W. Q., and Escobar, L. A. (2006). Accelerated Life Test Models and Data Analysis. Springer Handbook of Engineering Statistics. New York: Springer Verlage.
  • Pascual, F. G. (2004). Optimal Test Plans for the Random Fatigue-Limit Model when the Fatigue-Limit Distribution is Known. IEEE Transactions on Reliability, 53, 284-292.
  • Pascual, F. G. (2003). Theory for Optimal Test Plans for the Random Fatigue-Limit Model. Technometrics 45, 130-141.
  • Pascual, F. G. (2003). A Standardized Form of the Random Fatigue-Limit Model. Communications in Statistics – Simulation and Computation, 32, 1209-1228. | GitHub Repository of Fortran Codes.
  • Pascual, F. G. (2002). The Random Fatigue-Limit Model in Multi-Factor Experiments. Proceedings of the Spring Research Conference on Statistics in Industry and Technology, Ann Arbor 2002.
  • Pascual, F. G. (2002). The Random Fatigue-Limit Model in Multi-Factor Experiments. Journal of Statistical Computation and Simulation, 73, 733-752. Abstract.
  • Pascual, F. G. and Meeker, W. Q. (1999). Estimating Fatigue Curves with the Random Fatigue-Limit Model. Technometrics, 41, 277-290. | Source Codes on GitHub.
  • Pascual, F. G. and Meeker, W. Q. (1998). The Modified Sudden Death Test: Planning Life Tests with a Limited Number of Test Positions. Journal of Testing and Evaluation, Vol 26, No. 5, September 1998, pp. 434-443.
  • Pascual, F. G. and Meeker, W. Q. (1997). Analysis of Fatigue Data with Runouts Based on a Model with Nonconstant Standard Deviation and a Fatigue Limit Parameter. Journal of Testing and Evaluation, Vol 25, No. 3, pp. 292-301.

Professional Service

  • Associate Editor, Technometrics (2002-2007)

Statistics Links

Employment in Statistics

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