Dynamical systems and differential equations: Particle or ensemble of particles whose state varies over time and thus obeys differential equations involving time derivatives
Applied Mathematics: The abstract science of number, quantity, and space, either as abstract concept
Probability and Statistics: The collection, analysis, interpretation, and display of numerical data
Combinatorics: Branch of mathematics dealing with combinations of objects
Computation: The action of mathematical calculation
Algebra: Numbers and quantities in formulae and equations
Calculus and analysis: Differentiation, integration, measure, infinite series, and analytic functions
Geometry and Topology: The branch of mathematics concerned with the properties and relations of points, lines, surfaces, solids, and higher dimensional analogues
Number theory: The branch of mathematics that deals with the properties and relationships of numbers, especially the positive integers
Trignometry: The branch of mathematics dealing with the relations of the sides and angles of triangles and with the relevant functions of any angles

All submissions will undergo vigorous peer review process.
High quality review process.
Permanent published archives.
Author loyal benefits.
Reviewer credits.
Visible specified citations.
Open access - Maximum dissemination.
Un-interrupted author communication.
Standard author guidelines.
Minimal publication charges with convenient and safe modes of transfer.

Journal of Mathematics, Statistics and Computing is an Open access, peer reviewed international journal and it aims to publish different types of articles on emerging developments and supports current and upcoming research in the field of Mathematics, Statistics and Computing. This journal also allows articles on Mathematics, Statistics and Computing.

This journal will support the budding scientists, scholars, academicians, researchers, and students by providing Open access platform for publishing their work.

This journal will follow the peer review policies and will bode Open access in having quality research output.

This journal combines the innovative scientific ideas and ways in biostatistics, biometrics, data analysis and all other related disciplines to have an innovative output.

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Solving Multicollinearity Problem in Linear Regression Model: The Review Suggests New Idea of Partitioning and Extraction of the Explanatory Variables

Multicollinearity has remained a major problem in regression analysis and should be sustainably addressed. Problems associated with multicollinearity are worse when it occurs at high level among regressors.