Reliability Analysis and Statistical Computing
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "D1: Probability and Statistics".
Deadline for manuscript submissions: 31 July 2025 | Viewed by 616
Special Issue Editors
Interests: mathematical statistics; experimental design; reliability optimization
Interests: change point analysis; causal inference; high dimensional data; empirical likelihood method; time series analysis; survival analysis; sequential analysis
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Reliability analysis and statistical computing represent a highly interdisciplinary field that plays a pivotal role in modern engineering, manufacturing, information technology, aerospace, healthcare, and numerous other domains. Research in reliability analysis and statistical computing is crucial for ensuring product quality, enhancing system performance, and preventing failures. Recent advancements in big data, artificial intelligence, and the Internet of Things (IoT) have presented unprecedented opportunities and challenges to the field of reliability analysis and statistical computing. On the one hand, vast amounts of data provide richer information for reliability analysis; on the other hand, complex data structures and dynamic operational environments pose new challenges to traditional reliability assessment methods. Consequently, this Special Issue aims to gather the latest research findings, explore cutting-edge theories and techniques in reliability analysis and statistical computing, and demonstrate their practical applications.
This Special Issue will focus specifically on the following areas:
- Reliability Prediction and Statistical Modeling;
- Failure Modes and Effects Analysis (FMEA);
- Accelerated Degeneration Test (ADT) and Statistical Analysis;
- Data-Driven Reliability Assessment and Statistical Computing;
- Statistical Inference and Reliability Estimation;
- Reliability Optimization and Algorithm Design;
- Reliability Management and Maintenance Strategies;
- Integrated Assessment of Reliability and Safety.
We invite researchers to submit original research papers and high-quality review articles sharing the latest findings and insights in the above areas. All submitted papers will undergo rigorous peer review to ensure scientific rigor, innovation, and practical utility.
Prof. Dr. Yubin Tian
Prof. Dr. Wei Ning
Dr. Dianpeng Wang
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Mathematics is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- reliability analysis
- reliability optimization
- reliability estimation
- failure modes and effects analysis (FMEA)
- accelerated degeneration test (ADT)
- accelerated life testing (ALT)
- statistical computing
- data-driven statistical assessment
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