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Journal of Statistics, Optimization and Data Science (JSODS) is a journal of innovative research thoughts. Intellectual’s thinking and researcher’s thought Processing in both the Classical & Applied areas of Mathematics, Statistics, Stochastic Processes, Optimization Modeling, Operational Research and Computational Methodologies is the scope of the journal. It’s a peer reviewed and open access journal that can facilitate the healthy and competitive knowledge discovery and its dissemination. The core objective of this endeavor is to create a knowledge sharing global platform for generating the intellectual properties. Idea conceiving, Knowledge incubation and thought processing towards the generation of brain products are the other prominent aims through this research journal. .   

JSODS invites diversified noble thoughts from all the directions of intellectuals as submission of manuscripts in the field of pure, theoretical and applied Mathematics, Statistics, Operations Research and Data Sciences. The research areas should include but not be limited to the following topics:

Mathematics: numerical analysis and approximations, algebra, geometry and topology, discrete mathematics, mathematical logic and foundations, dynamical systems, mathematical physics, mathematical finance, number theory, Combinatorics, mathematical analysis and applications, mathematical education.

Statistics: Probability theory, stochastic processes, statistical modelling, applied statistics, applied econometrics, statistical mechanics, statistical education, Bayesian statistics, biostatistics, business statistics, causal inference, computational statistics, design of experiments, engineering statistics, estimation theory, graphical modelling, high dimensional data analysis, multivariate analysis, non-parametric statistics, parametric statistics, regression analysis, reliability, sampling theory, social statistics, statistical computing, statistical inference, survival analysis, time series analysis.

Operations Research: heuristics mathematical programming, optimal control, optimization, decision sciences, expert systems, networks, queuing theory, simulation, inventory analysis, logistics, transportation, warehousing and maintenance, planning and scheduling, product and service design, project management, quality management, revenue management, supply chain management, education operations research.

Data Sciences: Data Analytics, Data Intelligence, Machine Learning, Artificial Intelligence, Statistical Data Mining, Data Warehousing, Data Processing, Data Administration, Database management, SQL, Data Modeling, Data Visualization, Predictive Analytics, Business Intelligence, Deep Learning,