World Journal of Mathematics and Statistics

ISSN Online: 2996-2102 | Journal DOI: 10.57237/j.wjoms |Semiyearly

World Journal of Mathematics and Statistics is an international, peer-reviewed open access journal dedicated to advancing research the field of mathematics and statistics. The journal provides a rapid publication process to ensure wide dissemination of high-quality articles to scientists, professionals, and interested individuals worldwide. Our goal is to serve as an efficient, reliable, and trusted platform for scholars and readers, publishing cutting-edge research in the field.

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The topics related to this journal include but are not limited to:
Mathematics:

Algebra; Analysis; Geometry; Topology; Number Theory; Combinatorics; Probability Theory; Statistics; Mathematical Modeling; Optimization; Differential Equations; Partial Differential Equations; Functional Analysis; Fourier Analysis; Complex Analysis; Harmonic Analysis; Lie Theory; Group Theory; Representation Theory; Category Theory; Set Theory; Computation Theory; Cryptography; Coding Theory; Numerical Analysis; Scientific Computing; Computational Biology; Computational Physics; Computational Chemistry; Computational Finance; Game Theory; Graph Theory; Network Theory; Operations Research; Mathematical Physics; Differential Geometry; Algebraic Geometry; Geometric Analysis; Topological Dynamics; Ergodic Theory; Dynamical Systems; Chaos Theory; Fractal Geometry; Mathematical Neuroscience; Mathematical Economics; Actuarial Science; Mathematical Education; History of Mathematics.

Statistics:

Descriptive Statistics; Inferential Statistics; Statistical Inference; Hypothesis Testing; Bayesian Statistics; Nonparametric Statistics; Robust Statistics; Experimental Design; Sampling Theory; Survey Sampling; Time Series Analysis; Spatial Statistics; Multivariate Analysis; Regression Analysis; Analysis of Variance (Anova); Factor Analysis; Principal Component Analysis; Discriminant Analysis; Cluster Analysis; Decision Trees; Machine Learning; Deep Learning; Data Mining; Big Data Analytics; Business Analytics; Sports Analytics; Environmental Statistics; Biostatistics; Meta-Analysis; Survival Analysis; Reliability Analysis; Financial Statistics; Econometrics; Social Network Analysis; Graphical Models; Causal Inference; Decision Analysis; Risk Analysis; Bayesian Networks; Stochastic Processes; Information Theory; Statistical Education.

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