Robust Statistics in Action II
A special issue of Stats (ISSN 2571-905X).
Deadline for manuscript submissions: 31 December 2025 | Viewed by 1836
Special Issue Editor
Interests: all aspects of robust statistics (regression, multivariate analysis, classification and time series)
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
I am pleased to announce a Special Issue on the practical use of robust statistics. I am soliciting manuscripts which show how the application of robust methods can help to address and solve real complex data problems in a way that is not possible using traditional methods. Suitable manuscripts could include but are not limited to the robust assessment of public health issues, fraud detection discovery, chemometrics and geochemistry, medical problems, all varieties of classification problems, predictive maintenance, and marketing applications in banks or firms. More generally, the purpose of the Special Issue is to show how robust statistics can be successfully applied to analyze multivariate complex data affected by different sources of heterogeneity, multiple outliers, and masking and swamping problems. Manuscripts applying robust statistics concepts to the modeling of the COVID-19 epidemic are especially welcome. Similarly, manuscripts introducing specific robust models which can be useful to practitioners are highly appreciated.
I look forward to receiving your submissions.
Prof. Dr. Marco Riani
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. Stats is an international peer-reviewed open access quarterly 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 1600 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
- regression
- multivariate analysis
- time series
- public health
- classification (supervised and unsupervised) neural networks
- factor analysis
- fraud detection
- predictive maintenance
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Related Special Issue
- Robust Statistics in Action in Stats (12 articles)
