BRJMS

Boston Research Journal of Mathematics & Statistics

BRJMS publishes double-blind, peer-reviewed, high-quality research in Mathematics and Statistics, featuring advanced studies in pure and applied mathematics, statistical theory, data science, and interdisciplinary mathematical applications.

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The call for paper is open. Start your publication process in peer-reviewed, internationally acclaimed Boston Research Journals.

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ISSN

Online ISSN: 2834-xxxx
Print ISSN: 2834-xxxx
ISSN Country: United States

Status

Upcoming journal. Under processing.

Access

Open Access. Also available on print subscription.

License

Creative Commons Attribution 4.0 International License (CC BY 4.0)

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Get In Touch With Journal's Support Team

Ms. Laura Portillo | [email protected]

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Aim & About Journal

The Boston Research Journal of Mathematics & Statistics primarily focuses on statistics and mathematical research. The journal contains original and progressive research papers in these disciplines in order to provide knowledge. We aim to become a reference research publication. We publish and review original and authentic research papers as well as auxiliary materials such as case studies, technical reports, etc. by scholars and researchers all across the world. We welcome the submission of papers concerning any branch of Mathematics & Statistics and their application in education, industry, research, and other organizations.

Primary Subjects Under This Discipline

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Pure Mathematics

Exploration of fundamental mathematical concepts and structures, including algebra, analysis, geometry, topology, and number theory, for intrinsic understanding.

Probability Theory & Stochastic Processes

The study of randomness and uncertainty, encompassing the mathematical models for random events, variables, and dynamic systems evolving over time.

Discrete Mathematics & Combinatorics

Study of finite or countable mathematical structures such as graphs, networks, codes, and arrangements, with applications in computer science and operations research.

Applied Mathematics

Development and utilization of mathematical methods and models to solve problems in science, engineering, finance, industry, and other practical domains.

Statistical Theory & Methodology

Foundations and techniques for data collection, analysis, interpretation, and inference, including experimental design, hypothesis testing, and model estimation.

Computational Mathematics & Data Science

Application of computational techniques to mathematical problems and the extraction of knowledge from data, including numerical analysis, optimization, and statistical learning.

Acceptance Rate 36%

Quantopian Grade 80.2%

A well-established international journal of scientific research involved in all aspects of Mathematics & Statistics.
Publishes new and refined research and selected scientific journal articles/research papers from all over the world.
Promotes insight and understanding of the latest trends and developments in Mathematics & Statistics.