Advances in Statistical Methods with Applications

Dear Colleagues,

This Special Issue on "Advances in Statistical Methods with Applications" aims to highlight recent advancements in statistical methods and their practical applications across various fields. Recognizing the vital role of statistics in modern research, this Special Issue brings together recent investigations, methodologies, and case studies to explore novel statistical approaches and their implementation.

The articles featured in this Special Issue cover a wide range of topics, including, but not limited to, the following:

1. Bayesian statistics and its applications;
2. Machine learning techniques in statistical modeling;
3. Multivariate analysis and its applications;
4. Time series analysis and forecasting;
5. Experimental design and optimization methods;
6. Spatial statistics and spatial modeling;
7. Regression analysis and modeling;
8. Big data analytics and statistical inference;
9. Decision theory and its applications;
10. Reliability theory and its applications;
11. Entropy and information studies.

Prof. Dr. Mohamed T. Madi
Prof. Dr. Mohammad Z. Raqab
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 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.

• big data and analysis
• machine learning
• mathematical modelling
• stochastic modeling
• Monte Carlo simulations
• measures of divergence and entropy
• optimization models
• Bayesian analysis
• biostatistical applications
• entropy and information measures