William Q Meeker

Distinguished Professor

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.
•    Tian, Q., F. Meng, D.J. Nordman, and W.Q. Meeker (2021), Predicting the Number of Future Events. Journal of the American Statistical Association.
•    Weaver, B. and W.Q. Meeker, (2021) Bayesian Methods for Planning Accelerated Repeated Measures Degradation Tests. Technometrics 63, 90-99.

Area of Expertise: 
B.S. Clarkson College of Technology (now Clarkson University), 1972, Industrial Management
M.S. Union College, 1973, Operations Research
Ph.D. Union College, 1975, Administrative and Engineering Systems
2109 Snedecor Hall