More Information

Recent Publications:

• Meeker, W.Q., G.J Hahn, and L.A. Escobar, (2017), Statistical Intervals: A Guide for Practitioners and Researchers, Second Edition. John Wiley and Sons, Inc.
• Mittman, E., C. Lewis-Beck, and W. Q. Meeker (2019), A Hierarchical Failure-Time Model for Observational Data Exhibiting Infant-Mortality and Wearout Failure Modes. Technometrics, 61, 354-368.
• Tian, Q., S. Liu, and W.Q. Meeker, (2019), Using Degradation Models to Assess Pipeline Life. Applied Stochastic Models in Business and Industry, 35, 1411-1430.
• Shan, Q., Y. Hong, and W. Q. Meeker, (2020), Seasonal Warranty Prediction Based on Recurrent Event Data. Annals of Applied Statistics, 14, 929-955.
• Xu, L., C. Gotwalt, Y. Hong, C.B. King, and W.Q. Meeker (2020), Applications of the Fractional-Random-Weight Bootstrap. The American Statistician, 74, 345-358.
• Doganaksoy, N., W.Q. Meeker,  and G.J. Hahn, (2020), Reliability disasters: technical learnings from past mistakes to mitigate and avoid future catastrophes. Quality Progress, August 2020, 38-44.
• Doganaksoy, N., W. Q. Meeker, and G.J Hahn (2021), Achieving Product Reliability. CRC Press.
• Weaver, B. and W.Q. Meeker, (2021) Bayesian Methods for Planning Accelerated Repeated Measures Degradation Tests. Technometrics 63, 90-99.
• Tian, Q., F. Meng, D.J. Nordman, and W.Q. Meeker (2022), Predicting the Number of Future Events. Journal of the American Statistical Association, 117, 1296-1310.
• Meeker, W. Q., L. A. Escobar, and F. G. Pascual (2022), Statistical Methods for Reliability Data, Second Edition, Wiley.