Year |
Citation |
Score |
2019 |
Hsieh M, Jeng S, Kvam P. Critical fault-detecting time evaluation in software with discrete compound Poisson models Journal of Quality Technology. 51: 94-108. DOI: 10.1080/00224065.2018.1545494 |
0.351 |
|
2016 |
Feng J, Kvam P, Tang Y. 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. DOI: 10.1016/J.Engfailanal.2016.04.014 |
0.352 |
|
2016 |
Bae SJ, Do G, Kvam P. On data depth and the application of nonparametric multivariate statistical process control charts Applied Stochastic Models in Business and Industry. 32: 660-676. DOI: 10.1002/Asmb.2186 |
0.502 |
|
2015 |
Bae SJ, Kvam PH. Discussion of 'stochastic modelling and analysis of degradation for highly reliable products' Applied Stochastic Models in Business and Industry. 31: 33-34. DOI: 10.1002/Asmb.2078 |
0.512 |
|
2013 |
Mun BM, Bae SJ, Kvam PH. A superposed log-linear failure intensity model for repairable artillery systems Journal of Quality Technology. 45: 100-115. DOI: 10.1080/00224065.2013.11917917 |
0.523 |
|
2011 |
Sun Q, Tang Y, Feng J, Kvam P. 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. DOI: 10.1109/ICQR2MSE.2011.5976618 |
0.319 |
|
2011 |
Wang N, Lu JC, Chen D, Kvam PH. Adjusted empirical likelihood models with estimating equations for accelerated life tests Journal of Statistical Planning and Inference. 141: 140-155. DOI: 10.1016/J.Jspi.2010.05.016 |
0.443 |
|
2011 |
Kim H, Lu JC, Kvam PH, Tsao YC. Ordering quantity decisions considering uncertainty in supply-chain logistics operations International Journal of Production Economics. 134: 16-27. DOI: 10.1016/J.Ijpe.2011.02.017 |
0.503 |
|
2011 |
Quan S, Kvam PH. Multi-cause degradation path model: A case study on rubidium lamp degradation Quality and Reliability Engineering International. 27: 781-793. DOI: 10.1002/qre.1159 |
0.386 |
|
2009 |
Lin SC, Kvam PH, Lu JC. Extending the skill test for disease diagnosis. Statistics in Medicine. 28: 798-813. PMID 19072748 DOI: 10.1002/Sim.3512 |
0.439 |
|
2007 |
Wang N, Kvam P, Lu J. Detection and Estimation of a Mixture in Power Law Processes for a Repairable System Journal of Quality Technology. 39: 140-150. DOI: 10.1080/00224065.2007.11917681 |
0.33 |
|
2007 |
Bae SJ, Kuo W, Kvam PH. Degradation models and implied lifetime distributions Reliability Engineering and System Safety. 92: 601-608. DOI: 10.1016/J.Ress.2006.02.002 |
0.54 |
|
2006 |
Wang N, Lu JC, Kvam P. Reliability modeling in spatially distributed logistics systems Ieee Transactions On Reliability. 55: 525-534. DOI: 10.1109/Tr.2006.879603 |
0.519 |
|
2006 |
Bae SJ, Kvam PH. A change-point analysis for modeling incomplete burn-in for light displays Iie Transactions (Institute of Industrial Engineers). 38: 489-498. DOI: 10.1080/074081791009068 |
0.523 |
|
2006 |
Kvam P, Sokol JS. A logistic regression/Markov chain model for NCAA basketball Naval Research Logistics. 53: 788-803. DOI: 10.1002/Nav.20170 |
0.336 |
|
2004 |
Kim H, Kvam PH. Reliability estimation based on system data with an unknown load share rule. Lifetime Data Analysis. 10: 83-94. PMID 15130052 DOI: 10.1023/B:Lida.0000019257.74138.B6 |
0.492 |
|
2004 |
Bae SJ, Kvam PH. A nonlinear random-coefficients model for degradation testing Technometrics. 46: 460-469. DOI: 10.1198/004017004000000464 |
0.549 |
|
2002 |
Kvam PH, Singh H, Whitaker LR. Estimating distributions with increasing failure rate in an imperfect repair model. Lifetime Data Analysis. 8: 53-67. PMID 11878225 DOI: 10.1023/A:1013570832286 |
0.325 |
|
2001 |
Kvam P, Day D. The multivariate Polya distribution in combat modeling Naval Research Logistics. 48: 1-17. DOI: 10.1002/1520-6750(200102)48:1<1::Aid-Nav1>3.0.Co;2-Y |
0.396 |
|
1998 |
Kvam PH. A parametric mixture-model for common-cause failure data Ieee Transactions On Reliability. 47: 30-34. DOI: 10.1109/24.690894 |
0.321 |
|
1998 |
Kvam PH. The binomial failure rate mixture model for common cause failure data from the nuclear industry Journal of the Royal Statistical Society. Series C: Applied Statistics. 47: 49-61. |
0.319 |
|
1997 |
Kvam PH, Samaniego FJ. Multivariate Life Testing in Variably Scaled Environments Lifetime Data Analysis. 3: 337-351. PMID 9503880 DOI: 10.1023/A:1009602128877 |
0.331 |
|
1996 |
Kvam PH. Estimation techniques for common cause failure data with different system sizes Technometrics. 38: 382-388. |
0.303 |
|
1995 |
Kvam PH, Martz HF. Bayesian inference in a discrete shock model using confounded common cause data Reliability Engineering and System Safety. 48: 19-25. DOI: 10.1016/0951-8320(94)00064-U |
0.326 |
|
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