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Some extended geometric processes and their estimation methods

Yin, Jiaqi, Wu, Shaomin (2022) Some extended geometric processes and their estimation methods. In: 2022 4th International Conference on System Reliability and Safety Engineering (SRSE). . pp. 249-254. IEEE (KAR id:99192)


Modelling the failure process of a system is one of the most important problems in the reliability and maintenance research community. The geometric process (GP) is widely used for modelling the failure process because it can describe the phenomenon that the working times after repairs become shorter and shorter. This article reviews the geometric process and its extensions based on existing research. It also reviews relevant methods for estimating parameters, model performances, and widely used distributions for times to first failures. Future challenges for the GP-like processes will be discussed.

Item Type: Conference or workshop item (Paper)
Additional information: “© 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.”
Uncontrolled keywords: Geometric process, Reliability, Stochastic process, Parameter estimations, Model performance
Subjects: H Social Sciences > HA Statistics > HA33 Management Science
Divisions: Divisions > Kent Business School - Division > Department of Analytics, Operations and Systems
Funders: University of Kent (
Depositing User: Shaomin Wu
Date Deposited: 21 Dec 2022 18:24 UTC
Last Modified: 17 Apr 2023 14:55 UTC
Resource URI: (The current URI for this page, for reference purposes)

University of Kent Author Information

Yin, Jiaqi.

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Wu, Shaomin.

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