Statistical Inference in Linear Models, 2nd Edition
A special issue of Mathematical and Computational Applications (ISSN 2297-8747).
Deadline for manuscript submissions: 31 December 2025 | Viewed by 469
Special Issue Editor
Interests: applied statistics; computational mathematical methods; distribution theory; linear models; prediction; statistical inference
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Linear models are very important statistical models that play a role in several fields of science, constituting an area of practical importance in statistics. The most typical variant is the linear regression model. Many phenomena, such as those seen in biology, medicine, economics, management, geology, meteorology, agriculture and industry, can be approximately described by linear models. The further research and development of linear models is still a very active research subject.
In this Special Issue, we invite front-line researchers and authors to submit novel and original research. Potential topics include, but are not limited to, the following areas:
- Prediction and testing in linear models;
- Regression and linear models;
- Econometrics;
- Robustness of relevant statistical methods;
- Modelling and simulation;
- Estimation of variance components;
- Parameter estimation in linear models
- Sampling techniques;
- Applications of linear models;
- Design and analysis of experiments;
- Statistical applications;
- Generalized linear models.
This collection of papers will reflect the state of the art in this area and present all recent important developments, providing a platform the benefit of young researchers coming into the field as well as seasoned researchers.
For further information, please send an email to sandraf@ubi.pt.
Dr. Sandra Ferreira
Guest Editor
Manuscript Submission Information
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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
- linear models
- regression models
- parameter estimation
- sampling
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