An evidence theory based model fusion method for degradation modeling and statistical analysis

DOI10.1016/j.ins.2020.04.042zbMath1465.62030OpenAlexW3022580280MaRDI QIDQ2023165

Mileta M. Tomovic, Shaoping Wang, Chao Zhang, Di Liu

Publication date: 3 May 2021

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2020.04.042

zbMATH Keywords

parameter uncertaintymodel uncertaintystatistical analysisevidence theory

Mathematics Subject Classification ID

Statistical aspects of information-theoretic topics (62B10) Statistical aspects of big data and data science (62R07)

Related Items

Consensus reaching with dynamic expert credibility under Dempster-Shafer theory, Reliability estimation from two types of accelerated testing data based on an artificial neural network supported Wiener process, Tsallis eXtropy

Uses Software

• SPLIDA

Cites Work

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• Classic works on the Dempster-Shafer theory of belief functions
• Regression and time series model selection in small samples
• Further analysis of the data by Akaike's information criterion and the finite corrections
• Bayesian Model Averaging for Linear Regression Models