Statistics Applications for Environmental Science
A special issue of Stats (ISSN 2571-905X).
Deadline for manuscript submissions: closed (15 December 2018) | Viewed by 138
Special Issue Editor
Interests: stochastic spatio-temporal fields; Gaussian and non-Gaussian stochastic models; environmetrics; applications to engineering; modelling of sea surface dynamics
Special Issue Information
Dear Colleagues,
Weather, climate, air and water quality, as well as studies of plant and animal populations, are areas of the environment where statistical methods can be applied.
This Special Issue will focus on innovative applications and methodologies of statistical analysis in environment. Contributions submitted to this Special Issue must represent new theoretical or computational approaches to stochastic environmental modeling or innovative applications to such problems.
Special issue topics include (but are not limited to):
- Statistical methods for the analysis of hydrological, environmental and climate anomalies and/or related hazards
- Stochastic models for the modeling of sea surface and associated risks
- Generalized extreme value distributions and models of spatial and spatio-temporal extreme events
- Statistical analysis and predictions using Gaussian and non-Gaussian models
- Point processes and models for plant development
Assist. Prof. Anastassia Baxevani
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.
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