Applied Statistics in Engineering
Special Issue Information
Dear Colleagues,
The recent ubiquitous development of sensors and actuators in advanced technology manufactured products has augmented the importance of data mining and statistical methods in engineering sciences.
On these grounds, the objective of this Special Issue is collecting scientific contributions on applied statistics in every branch of engineering. Test case discussions and practical applications of advanced statistical methods are particularly welcome. Theoretical advances in statistics, with particular relevance for engineering sciences, are welcome too.
Statistical methods of interest for this Special Issue include, but are not limited to, the following:
- Regression analysis
- Multivariate analysis
- Confidence Intervals
- Time-series analysis
- Data mining
- Data classification and clustering
- Statistical inference
- Distribution theory
- Error analysis
Dr. Davide Astolfi
Dr. Silvia Cascianelli
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 250 words) can be sent to the Editorial Office for assessment.
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-anonymized 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 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 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
- Engineering
- Applied Statistics
- Multivariate Analysis
- Regression
- Time Series
- Inference
- Quality Control
- Process Control
- Control and Monitoring
- Reliability
- System Identification
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Published Papers
Stats - ISSN 2571-905X