2023 - Research.com Mathematics in China Leader Award
2006 - IEEE Fellow For contributions modeling and analysis of systems and software reliability.
Min Xie spends much of his time researching Reliability engineering, Reliability, Statistics, Software quality and Artificial intelligence. His studies deal with areas such as Markov model, Software reliability testing and Degradation as well as Reliability engineering. His biological study spans a wide range of topics, including Distributed algorithm, Distributed computing and Failure mode and effects analysis.
His work in Statistics covers topics such as Control chart which are related to areas like Statistical process control and Sample size determination. His Software quality study integrates concerns from other disciplines, such as Fault tolerance, Poisson process and Fault detection and isolation. His Artificial intelligence research integrates issues from Machine learning and Data mining.
Min Xie mostly deals with Reliability engineering, Statistics, Reliability, Control chart and Weibull distribution. His Reliability engineering study combines topics from a wide range of disciplines, such as Software quality, Software metric, Software reliability testing, Software construction and Degradation. Bayesian network is closely connected to Data mining in his research, which is encompassed under the umbrella topic of Software quality.
His work on Statistics is being expanded to include thematically relevant topics such as Algorithm. Min Xie combines subjects such as Statistical process control and Chart with his study of Control chart. His Weibull distribution study combines topics in areas such as Failure rate and Applied mathematics.
His scientific interests lie mostly in Reliability engineering, Reliability, Control chart, Control theory and Statistics. The concepts of his Reliability engineering study are interwoven with issues in Weibull distribution and Degradation. His Reliability research focuses on Quality and how it connects with Process.
His research in Control chart intersects with topics in Nonparametric statistics and Chart. His work in the fields of Control theory, such as Control theory and Control system, overlaps with other areas such as Scheme. He studies Statistics, namely Event.
Min Xie spends much of his time researching Reliability engineering, Control limits, Control chart, Data mining and Condition-based maintenance. His Reliability engineering research includes elements of Reliability, Experimental data and Degradation. Min Xie interconnects Algorithm, Estimation theory, Sample size determination and Nonlinear system in the investigation of issues within Control limits.
In his research, Estimator is intimately related to CUSUM, which falls under the overarching field of Control chart. His work carried out in the field of Data mining brings together such families of science as Nonparametric statistics, Ensemble learning, Support vector machine, Artificial intelligence and Statistic. His work is dedicated to discovering how Shewhart individuals control chart, Statistics are connected with X-bar chart and other disciplines.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Software reliability modelling
Stochastic Ageing and Dependence for Reliability
Chin-Diew Lai;Min Xie;R. E. Barlow.
A modified Weibull distribution
C.D. Lai;Min Xie;D.N.P. Murthy.
A modified Weibull extension with bathtub-shaped failure rate function
Min Xie;Y. Tang;Thong Ngee Goh.
Reliability Engineering & System Safety (2002)
Fuzzy assessment of FMEA for engine systems
Kai Xu;Loon Ching Tang;Min Xie;S. L. Ho.
Reliability Engineering & System Safety (2002)
Reliability analysis using an additive Weibull model with bathtub-shaped failure rate function
M. Xie;C.D. Lai.
Reliability Engineering & System Safety (1996)
Stochastic modelling and analysis of degradation for highly reliable products
Zhi-Sheng Ye;Min Xie.
Applied Stochastic Models in Business and Industry (2015)
An integrated approach to innovative product development using Kano’s model and QFD
X.X. Shen;K.C. Tan;M. Xie.
European Journal of Innovation Management (2000)
A comparative study of neural network and Box-Jenkins ARIMA modeling in time series prediction
S. L. Ho;M. Xie;T. N. Goh.
annual conference on computers (2002)
Measuring web-based service quality
Y.N. Li;Kay C Tan;M. Xie.
Total Quality Management & Business Excellence (2002)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: