About Journal

Journal of Mathematics and Statistics Research is an international peer-reviewed journal that publishes original and high-quality research papers in all areas of mathematics and statistics. 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.

Journal of Mathematics and Statistics research helps students, researchers, Scientist, practitioners, and other professionals find up-to-date information about on-going researches in the field of Mathematics and Statistics.

JMSR welcomes your efforts in the form of research, review papers, short communications, editorials, Book reviews, commentary, or any other type of articles relating to all aspects of Mathematics and Statistics.

ISSN: 2582-0699

Area: Mathematics and Statistics

Frequency: 4 Issues per Year

Language: English

Review Process: Double Blinded

Publication Timeline: 15 Days peer review process

Plagiarism Policy

The articles submitted by authors must contain a minimum of 80% unique content (Which should be unique and must not copy from any other web sites). The authors must maintain 100% uniqueness in the Results and conclusion part of the text. We will resend the articles, which have below 80% uniqueness to the authors for revision and asked for resubmissions with uniqueness (as per guidelines).

Benefits to authors

We provide many author benefits, such as free PDFs, a liberal copyright policy, social media optimization which improve citations and help readers to connect with potential collaborators and correspondents with a platform to publish their research work and update the recent advances.

Submit your manuscript through online or an e-mail: shanu.editor123@gmail.com  in MS word format as attachment.

Aim and Scope

Journal of Mathematics and Statistics Research (JMSR)is a journal that circulates articles based on global development in the area of Mathematics and Statistics. The mission of JMSR to publish in a timely manner all Mathematics and Statistics focuses on covering a wide-ranging resource for investigators around the World.

Subject Areas

Mathematics       Statistics
Applied Mathematics       Advance Statistics
Algebraic Geometry       Actuarial Science
Advance Trigonometry       Applied Information Economics
Applied Cryptography       Asymptotic Statistics
Arithmetic       Basics Statistics
Complex Analysis       Bayesian Statistics
Computational Mathematics       Biostatistics
Computing Science and Mathematics       Business Statistics
Computational Vision and Robotics       Causal Inference
Computer Aided Engineering and Technology       Chemometrics
Computational Complexity and Intelligent Algorithms       Computational Statistics
Computational Geometry       Data Mining
Coordinate Geometry       Data Statistics
Differential Geometry       Decision Theory
Data Analysis Techniques and Strategies       Demography
Dynamical Systems and Differential Equations       Descriptive Statistics
Differential Equations       Design of Experiments
Differential Calculus       Experimental Statistics
Dynamical Systems and Ergodic Theory       Econometrics
Difference and Functional Equations       Energy Statistics
Fuzzy Computation and Modeling       Engineering Statistics
Fourier Analysis & Wavelets       Epidemiology
Functional Analysis       Estimation Theory
Geometry       Geographic Information Systems
Genetic Algorithms       Graphic Models and Related Theory
General Topology       High Dimensional Data Analysis
Integral Calculus       Image Processing
Industrial Mathematics       Multivariate Analysis
Information Theory and Signal Processing       Non-parametric Statistics
Information and Coding Theory       Probability Theory and Computational Statistics
Logic & Set Theory       Parametric Statistics
Linear & Nonlinear Programming       Psychological Statistics
Mathematical Programming       Regression Analysis
Matrix Theory       Random Variable Statistics
Mathematical Logic       Reliability
Mathematics in Operational Research       Reliability Engineering
Mathematics of Barcode Systems       Sample Survey
Mathematics Education       Sampling Theory
Mathematical Finance       Semi Parametric Statistics
Mathematical Medicine       Social Statistics
Mathematical Modeling       Smoothing and Filters
Mathematical Physics       Statistical Inference
Mathematical Electrochemistry       Statistics: Probability Distributions
Multivariable Calculus       Statistical analysis with Complex Data
Number Theory       Statistical Computing
Numerical Optimization       Statistical Inference
Ordinary Differential Equations       Statistical Methods
Operations Research       Survival Analysis
Partial Differential Equations       Theoretic Methods
Probability Theory and Stochastic Processes       Time Series Analysis
Swarm Intelligence        
Sequences and Patterns        
Several Complex Variables and Analytic Spaces        
Three Dimension Geometry        

Current Issue

Research article
Introduction to Generalized Digroups - Second Isomorphism Theorem
Introduction to Generalized Digroups - Second Isomorphism Theorem
Maldonado E and Vergara G

General science: J Math Stat Res 2021, 3: 2

Presentation of Finite Dimensions
Presentation of Finite Dimensions
Ntyam D

General science: J Math Stat Res 2021, 3: 2

Research article
Research article
Computation of the N Digits of Pi in O (N) Iterations
Computation of the N Digits of Pi in O (N) Iterations
Xingfeng Chen

General science: J Math Stat Res 2021, 3: 2

Journal Spotlight

  •   Applied Mathematics
  •   Advanced Numerical Methods
  •   Arithmetic
  •   Algorithm
  •   Balance Law
  •   Bayesian inference
  •   Biostatistics
  •   Calculus
  •   Combinatorics
  •   Computational Mathematics
  •   Complex analysis
  •   Convection-Diffusion Equations
  •   Dynamical Systems
  •   Differential equation
  •   Differential Transform Method
  •   Functional analysis
  •   Fractional differential equations
  •   Global analysis
  •   Integrated Analysis
  •   Latin square
  •   Mathematical Biology
  •   Mathematical physics
  •   Mathematical Modelling
  •   Matrix
  •   Mixed Initial-boundary Value
  •   Molecular Modelling
  •   Multivariate analysis
  •   Nonlinear Differential Equations
  •   Number Theory
  •   Nonlinear analysis
  •   Optimization Theory
  •   Operator theory
  •   Probability
  •   Partial differential equations
  •   Quasilinear Hyperbolic Systems
  •   Real functions
  •   Trigonometry
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