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1.  Xu, J., Q. P. Hu, D. Yu and M. Xie (2017). "Reliability demonstration test for load-sharing systems with exponential and Weibull components." PLOS ONE 12(12) (In Press).

2.  Sheng, Z.D., Q.P. Hu, J. Liu and D. Yu (2017). "Residual life prediction for complex systems with multi-phase degradation by ARMA-filtered hidden Markov model." Quality Technology & Quantitative Management: (In Press)

3. Ye, Z.S., Q.P. Hu and D. Yu (2017), "Strategic Allocation of Test Units in an Accelerated Degradation Test Plan. ", Journal of Quality Technology (In Press)

4. Wang, L.J., Hu, Q.P. and Liu, J. (2016). "Software reliability growth modeling and analysis with dual fault detection and correction processes." IIE Transactions 48(4): 359-370.

5. Li, M.Y., Hu, Q.P. and Liu, J. (2014). "Proportional hazard modeling for hierarchical systems with multi-level information aggregation." IIE Transactions 46(2): 149-163.

6. Zhang, M.M., Hu, Q.P., Xie, M.  and Yu, D.  (2014). "Lower confidence limit for reliability based on grouped data using a quantile-filling algorithm." Computational Statistics & Data Analysis 75: 96-111.

7. Xiao, X., Hu, Q.P., Yu, D. and Xie, M.  (2014). "Study of an imputation algorithm for the analysis of interval-censored data." Journal of Statistical Computation and Simulation 84(3): 477-490.

8. Hu, Q.P., Peng, R., Levitin, G., 2012 'Optimal Distribution of Software Testing Time Considering Multiple Releases', International Journal of Performability Engineering, 8(6), 705-707

9. Hu, Q.P., Xie, M., Ng, S.H., & Levitin, G., (2007), ‘Robust recurrent neural network modeling for software fault detection and correction prediction’, Reliability Engineering and System Safety, 92(3), 332-340.

10. Wu, Y.P., Hu Q.P., Xie, M., & Ng, S.H., (2007), ‘Modeling and Analysis of Software Fault Detection and Correction Process by Considering Time Dependency’, IEEE Transactions on Reliability, 56(4), 629-642

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1. Hu, L.R., L.J. Li and Q.P. Hu (2017). Degradation Modeling, Analysis, and Applications on Lifetime Prediction. Statistical Modeling for Degradation Data. D.-G. Chen, Y. Lio, H. K. T. Ng and T.-R. Tsai. Singapore, Springer Singapore: 43-66.

2. Hu, Q.P., Xie, M. and Ng, S.H.(2007), ‘Software Reliability Predictions using Artificial Neural Networks’, in Computational Intelligence in Reliability Engineering - New Metaheuristics, Neural and Fuzzy Techniques in Reliability, Ed. Levitin, G., Springer-Verlag, New York, USA

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