Ming Zhao

Universitetslektor, Industriell ekonomi

Kvalitetsteknik
Akademin för teknik och miljö

E-post: ming.zhao@hig.se

Telefon:
Direkt: 026-64 88 17
Mobil: 073-082 29 06

Aktuell forskning

Sammanfattning av aktuell forskning.

Senaste publikationerna

Yongjin, Z., Youchao, S., Longbiao, L. & Ming, Z. (2018). Copula-based reliability analysis for a parallel system with a cold standby. Communications in Statistics - Theory and Methods, 47 (3), 562-582. 10.1080/03610926.2017.1309432 [Mer information]
Zhang, Y., Sun, Y. & Zhao, M. (2017). A combinatorial estimation approach for storage reliability with initial failures based on periodic testing data. Communications in statistics. Simulation and computation, 46 (4), 3319-3340. 10.1080/03610918.2015.1130836 [Mer information]
Zhang, Y., Zhao, M., Zhang, S., Wang, J. & Zhang, Y. (2017). An integrated approach to estimate storage reliability with initial failures based on E-Bayesian estimates. Reliability Engineering & System Safety, 159, 24-36. 10.1016/j.ress.2016.10.024 [Mer information]
Yang, J., Liu, Y., Xie, M. & Zhao, M. (2016). Modeling and analysis of reliability of multi-release open source software incorporating both fault detection and correction processes. Journal of Systems and Software, 115, 102-110. 10.1016/j.jss.2016.01.025 [Mer information]
Liu, Y., Xie, M., Yang, J. & Zhao, M. (2015). A New Framework and Application of Software Reliability Estimation Based on Fault Detection and Correction Processes. Proceedings : IEEE International Conference on Software Quality, Reliability and Security, QRS 2015: IEEE conference proceedings. S. 65-74. 10.1109/QRS.2015.20 [Mer information]
Publicerad av: Zara Lindahl Sidansvarig: Gunilla Mårtensson Sidan uppdaterades: 2016-12-19
Högskolan i Gävle
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