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Paul Kvam

Affiliations: 
Georgia Institute of Technology, Atlanta, GA 
Area:
Statistics
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"Paul Kvam"
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Suk J. Bae grad student 2003 Georgia Tech
Hyoungtae Kim grad student 2004 Georgia Tech
Ni Wang grad student 2006 Georgia Tech
Shu-Chuan Lin grad student 2008 Georgia Tech

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Hsieh M, Jeng S, Kvam P. (2019) Critical fault-detecting time evaluation in software with discrete compound Poisson models Journal of Quality Technology. 51: 94-108
Feng J, Kvam P, Tang Y. (2016) Remaining useful lifetime prediction based on the damage-marker bivariate degradation model: A case study on lithium-ion batteries used in electric vehicles Engineering Failure Analysis. 70: 323-342
Bae SJ, Do G, Kvam P. (2016) On data depth and the application of nonparametric multivariate statistical process control charts Applied Stochastic Models in Business and Industry. 32: 660-676
Bae SJ, Kvam PH. (2015) Discussion of 'stochastic modelling and analysis of degradation for highly reliable products' Applied Stochastic Models in Business and Industry. 31: 33-34
Mun BM, Bae SJ, Kvam PH. (2013) A superposed log-linear failure intensity model for repairable artillery systems Journal of Quality Technology. 45: 100-115
Sun Q, Tang Y, Feng J, et al. (2011) Stress-lifetime joint distribution model for performance degradation failure Icqr2mse 2011 - Proceedings of 2011 International Conference On Quality, Reliability, Risk, Maintenance, and Safety Engineering. 308-311
Wang N, Lu JC, Chen D, et al. (2011) Adjusted empirical likelihood models with estimating equations for accelerated life tests Journal of Statistical Planning and Inference. 141: 140-155
Kim H, Lu JC, Kvam PH, et al. (2011) Ordering quantity decisions considering uncertainty in supply-chain logistics operations International Journal of Production Economics. 134: 16-27
Quan S, Kvam PH. (2011) Multi-cause degradation path model: A case study on rubidium lamp degradation Quality and Reliability Engineering International. 27: 781-793
Lin SC, Kvam PH, Lu JC. (2009) Extending the skill test for disease diagnosis. Statistics in Medicine. 28: 798-813
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