Jianbin Chen

Dr. Jianbin Chen


Research Focus & Metrics

Academic Career Length

23Years (2004-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 March 2017 in European Journal of Operational Research
Verified
Journal Article
Closed access
PZPeng Zhao
Peng Zhao
YZYiying Zhang
Yiying Zhang
JCJianbin Chen
Jianbin Chen

1 June 2020 in Statistics & Probability Letters
Verified
Journal Article
Closed access
JCJianbin Chen
Jianbin Chen
RMRahul Mukerjee
Rahul Mukerjee
DLDennis K.J. Lin
Dennis K.J. Lin

13 September 2017 in Communications in Statistics - Theory and Methods
Verified
Journal Article
Closed access
JCJianbin Chen
Jianbin Chen
YZYiying Zhang
Yiying Zhang
PZPeng Zhao
Peng Zhao
SZShan Zhou
Shan Zhou
This article deals with the topic of optimal allocation of two standby redundancies in a two-component series/parallel system. There are two original components C1 and C2 which can be used to construct a series/parallel system, and two spares R1 (same as C1) and R2 (different from both C1 and C2) at hand with them being standby redundancies so as to enhance the reliability level of the system. The goal for an engineer is to seek after the optimal allocation policy in this framework. It is shown that, for the series structure, the engineer should allocate R2 to C1 and R1 to C2 provided that C1 (or R1) performs either the best or worst among all the units; otherwise, the allocation policy should be reversed. For the parallel structure, the optimal allocation strategy is just opposed to that of series case. We also provide some numerical examples for illustrating the theoretical results.

23 May 2020
Verified
Book Chapter
Closed access
PDF file
PWPeter Winker
Peter Winker
JCJianbin Chen
Jianbin Chen
DLDennis K. J. Lin
Dennis K. J. Lin

12 August 2022 in Information Sciences
Verified
Journal Article
Closed access
HYHaiyan Yu
Haiyan Yu
JCJianbin Chen
Jianbin Chen

18 February 2019 in Statistics
Verified
Journal Article
Closed access
JCJianbin Chen
Jianbin Chen
YZYiying Zhang
Yiying Zhang
PZPeng Zhao
Peng Zhao
This paper studies the ordering properties of extreme order statistics arising from independent negative binomial random variables. Employing the useful tool of majorization-type orders, sufficient conditions are given for comparing extreme negative binomial order statistics according to the usual stochastic order. Some numerical examples are provided to illustrate the theoretical results. Applications in Poisson-Gamma shock model in reliability engineering and claim frequency in insurance are presented to show the practicability of our results as well.