Advances in Statistical Analysis and Applications in Engineering
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Engineering Mathematics".
Deadline for manuscript submissions: 30 April 2024 | Viewed by 2307
Special Issue Editor
Special Issue Information
Dear Colleagues,
With the rapid development of data collection techniques, large data streams are common in engineering applications, e.g., text documents, images, videos, networks, webpages, emails, etc. This can be quite difficult to handle, but becomes increasingly important when dealing with statistical analyses and applications in engineering, especially for very large data streams with high frequencies or complex structures. To analyze the data in these fields, statistical analysis methodologies are fundamental to statistical modeling and data analysis, including graphical methods, machine learning, networks, etc.
This Special Issue is devoted to high-quality research on statistical analysis and applications in engineering. New methodologies or applications that solve the numerous problems associated with large amounts of complex data streams are invited.
Dr. Zhonghua Li
Guest Editor
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
- basic statistical analysis
- data stream
- graphical methods
- linear models
- machine learning
- multivariate analysis
- networks
- nonparametric methods
