Sigma&Mu: Journal of Mathematics, Statistics and Data Science
Sigma&Mu: Journal of Mathematics, Statistics and Data Science (issn: 2987-2030; eISSN: 2987-2049) is an international peer-reviewed journal that publishes original and high-quality research papers in all areas of mathematics, statistics, and data sciences. As an important academic exchange platform, scientists and researchers can know the most up-to-date academic trends and seek valuable primary sources for reference.
The subject areas include, but are not limited to the following fields: Pure and Applied Mathematics, Mathematics Education, Optimizations, Pure and Applied Statistics, Statistics Education, Experimental Designs, Survey Methodology, Spatial Statistics, Multivariate Statistics, Time Series Analysis, Statistical Modeling, Bayesian Statistics, Climate Modeling, Environmental Statistics, Engineering Statistics, Statistics for Social Sciences, Medical Statistics, Chemometric, Bioinformatics, Big Data Analytics, Deep Learning, Sentiment Analysis, and Classification Modeling.
All articles in this issue (5 papers ) include Authors from 5 countries of origin (Indonesia, Nigeria, Uganda, Niger, Iran)