Jave Pascual

Research Publications

  • (Work in progress) Meeker, W. Q., Escobar, L. A., and Pascual, F. G. (2016). Basic Statistical Methods for Reliability Analysis (2nd edition of Statistical Methods for Reliability Data by Meeker and Escobar, 1998), Wiley.
  • Pascual, F. G. and Park, C. (2017). Control Charts for Monitoring the Mean and Percentiles of Weibull Processes with Variance Components. To appear in Quality and Reliability Engineering International. Abstract.
  • Akhundjanov, S. B. and Pascual, F. G. (2017). Exponentially Weighted Moving Average Charts for Correlated Multivariate Poisson Processes. Communications in Statistics: Theory and Methods, Volume 46, No. 10. Abstract.
  • Pascual, F., Yang, S., and Ye, M. (2017). Monitoring Weibull Quantiles by EWMA Charts Based on a Pivotal Quantity Conditioned on Ancillary Statistics. To appear in Quality and Reliability Engineering International. Abstract.
  • Haghighi, F., Pascual, F., and Castagliola, P. (2015). Conditional Control Charts for Weibull Quantiles under Type II Censoring. Quality and Reliability Engineering International, Volume 31, Issue 8, pages 1649-1664. Abstract | R Programs (Windows 32-bit).
  • Chan, Y., Han, B., and Pascual, F. (2015). Monitoring the Weibull Shape Parameter with Type II Censored Data. Quality and Reliability Engineering International, Volume 31, Issue 5, pages 741-760, July 2015. Abstract.
  • Akhundjanov, S. B. and Pascual, F. G. (2015). Moving Range EWMA Control Charts for the Weibull Shape Parameter. Journal Statistical Computation and Simulations, Volume 85, pages 1864-1882. Abstract.
  • Sze, C. and Pascual, F. (2013). Control Charts for Monitoring Weibull Distribution. 2013 Technical Report Series, Department of Mathematics, Washington State University. Abstract. | PDF.
  • Pascual, F. (2013). Individual and Moving Ratio Charts for Weibull Processes. Stochastic Orders in Reliability and Risk: In honor of Professor Moshe Shaked, Lecture Notes in Statistics, Springer. Abstract | R Programs (Windows 32-bit).
  • Henry-Osorio, M. and Pascual, F. (2012). Inference for the First Order Statistic Distribution based on Masked Exponential Distributions for Two Independent Competing Risks. Interstat, May 2012. Abstract.
  • Pascual, F. and Li, S. (2012). Monitoring the Weibull Shape Parameter by Control Charts for the Sample Range of Type II Censored Data. Quality and Reliability Engineering International, Volume 28, Issue 2, pages 233-246, March 2012. Abstract.
  • Huang, X. and Pascual, F. (2011). ARL-Unbiased Control Charts with Alarm and Warning Lines for Monitoring Weibull Percentiles using the First Order Statistic. Journal of Statistical Computation and Simulation, Vol 81, 1677-1696. Abstract.
  • Pascual, F. and Nguyen, D. (2011). Moving Range Charts for Monitoring the Weibull Shape Parameter with Single-Observation Samples. Quality and Reliability Engineering International, Vol 27, 905-919. Abstract.
  • Pascual, F. and Zhang, H. (2011). Monitoring the Weibull Shape Parameter by Control Charts for the Sample Range. Quality and Reliability Engineering International, Vol 27, 15-25. Abstract.
  • Pascual, F. (2010). EWMA Charts for the Weibull Shape Parameter. Journal of Quality Technology, Vol. 42, No. 4, 400-416. Abstract. | R Programs (Windows 32-bit).
  • Pascual, F. G. (2010). Accelerated Life Test Planning With Independent Lognormal Competing Risks. Journal of Statistical Planning and Inference, Vol 140, 1089-1100. Abstract.
  • Pascual, F. G. and Gast, C. (2009). Probability Plotting with Independent Competing Risks. Advances in Degradation Modeling: Applications to Reliability, Survival Analysis, and Finance (Statistics for Industry and Technology). Abstract.
  • Hicke, J. A., Slusser, J., Lantz, K., and Pascual, F. G. (2008). Trends and Interannual Variability in Surface UV-B Radiation Over 8-11 Years Observed across the United States. Journal of Geophysical Research - Atmospheres, Vol 113. Abstract.
  • Pascual, F. G. (2008). Accelerated Life Test Planning with Independent Weibull Competing Risks. IEEE Transactions on Reliability, Vol 57, 435-444. Abstract.
  • 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.
  • Dai, T. and Pascual, F. G. (2007). Robustness and Modifications of the Directed Walk Designs in Phase I/II Clinical Trials. Technical Report. Abstract.
  • Pascual, F. G. (2007). Accelerated Life Test Planning with Independent Weibull Competing Risks with Known Shape Parameter. IEEE Transactions Reliability, Vol 56, 85-93. Abstract.
  • Pascual, F. G. (2006). Theory for Accelerated Life Test Plans Robust to Misspecification of Stress-Life Relationship. Technometrics, Vol 48, 11-25. Abstract.
  • Pascual, F. G. and Zhang, H. (2006). Maximum Likelihood Estimation in Multivariate Spatial Cross-Correlation Models. Sankhya, Vol 68, Part 2, 307-325. Abstract.
  • 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. Abstract.
  • Pascual, F. G. (2005). Maximum Likelihood Estimators of Misspecified Lognormal and Weibull Distributions. Communications in Statistics - Simulation and Computation, Vol 34, No. 3. Abstract.
  • Pascual, F. G. and Montepiedra, G. (2005). Accelerated Life Testing under Distribution Misspecification: Biased Estimation and Test Planning. IEEE Transactions on Reliability, 55, 43-52 Abstract.
  • 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. Abstract.
  • Pascual, F. G. (2003). Theory for Optimal Test Plans for the Random Fatigue-Limit Model. Technometrics 45, 130-141. Abstract.
  • Pascual, F. G. and Montepiedra, G. (2003). Model-Robust Test Plans with Applications in Accelerated Life Testing. Technometrics, 45, 47-57. Abstract.

  • Pascual, F. G. (2003). A Standardized Form of the Random Fatigue-Limit Model. Communications in Statistics - Simulation and Computation, 32, 1209-1228. Abstract. | R Programs (Windows 32-bit).
  • 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 Montepiedra, G. (2001). An Algorithm to Find Minimax Designs for Two Candidate Models. Proceedings of the Joint Statistical Meetings, Atlanta 2001.

  • Pascual, F. G. and Montepiedra, G. (2002). On Minimax Designs when There Are Two Candidate Models . Journal of Statistical Computation and Simulation, 72, 841-862. Abstract.
  • Dasgupta, N., Pascual, F. G. and Spurrier, J. D. (2001). A Small-Sample Technique for Comparing Several Logistic Regression Slopes to a Standard. Journal of Statistical Computation and Simulation, 71, 141-161. Abstract.
  • Pascual, F. G. and Meeker, W. Q. (1999). Estimating Fatigue Curves with the Random Fatigue-Limit Model. Technometrics, 41, 277-290. Abstract | R Programs (Windows 32-bit).
  • 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. Abstract.
  • 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. Abstract.
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