ISSN: 2581-7620 (online)

International Journal of Transformation in Applied Mathematics & Statistics (IJTAMS) has been conceptualized for effective dissemination and promulgation of original research in all fields of Applied Mathematics and Statistics. With a relentless pursuit of excellence, it aims at providing immaculate and superior research material, thus fostering the spirit of non-conformity, experimentation and de novo intellection among researchers in different parts of the world.

IJTAMS strives ardently to present inceptive, innovative and invaluable research developments, both application oriented and theoretical, in all possible domains of Applied Mathematics and Statistics to a broad audience of academic researchers and industry practitioners in all major faculties - research and development, management, strategic planning, purchasing, design & styling, marketing, human resources etc.

Ingeniousness and research impaction are the main parameters for evaluation of theoretical papers. Applications based on advanced theory and case studies aid in bridging the gap between theory and practice, and are particularly welcome.

General approaches, formalism's, algorithms or techniques should be complemented with lucid illustrations allowing easy comprehension and subsequent suitable applicability. Although the main emphasis of IJTAMS is on original research papers, theoretical and integrative review articles, book reviews, and high-quality position papers are also published to keep readers up-to-date on the latest ideas, designs, and developments in these allied fields. Special review articles will be granted consideration based on the stage of evolvement of their respective fields.

Although there is no restriction on the length of contributions, brevity will always be preferred. Brief articles will merit attention depending on their technical proficiency.

Discussions of previously published papers are also welcome.

Focus & Scope

The focus and scope of International Journal of Transformation in Applied Mathematics & Statistics has been divided into the following two domains:

Mathematics 

• Applied Mathematics
• Algebraic Geometry
• Advance Trigonometry
• Applied Cryptography
• Arithmetic
• Bio-Inspired Computation
• Biology and Other Natural Science
• Complex Analysis
• Computational Mathematics
• Computing Science and Mathematics
• Computational Vision and Robotics
• Computer Aided Engineering and Technology
• Computational Complexity and Intelligent Algorithms
• Computational Geometry
• Coordinate Geometry
• Differential Geometry
• Data Analysis Techniques and Strategies
• Dynamical Systems and Differential Equations
• Differential Equations
• Differential Calculus
• Dynamical Systems and Ergodic Theory
• Difference and Functional Equations
• Fuzzy Computation and Modeling
• Fourier Analysis & Wavelets
• Functional Analysis
• Geometry
• Genetic Algorithms
• General Relativity
• General Topology
• Integral Calculus
• Industrial Mathematics
• Information Theory and Signal Processing
• Information and Coding Theory
• Logic & Set Theory
• Linear & Nonlinear Programming
• Mathematical Programming
• Matrix Theory
• Mathematical Logic
• Mathematics in Operational Research
• Mathematics of Barcode Systems
• Mathematics Education
• Mathematical Finance
• Mathematical Medicine
• Mathematical Modeling
• Mathematical Physics
• Mathematical Electrochemistry
• Mathematical Biology
• Mechanics of Particles and Systems
• Mechanics of Deformable Solids
• Multivariable Calculus
• Number Theory
• Numerical Optimization
• Ordinary Differential Equations
• Operations Research
• Partial Differential Equations
• Probability Theory and Stochastic Processes
• Statistics
• Swarm Intelligence
• Sequences and Patterns
• Several Complex Variables and Analytic Spaces
• Three Dimension Geometry
• Trigonometry

 Statistics 

• Advance Statistics
• Actuarial Science
• Applied Information Economics
• Asymptotic Statistics
• Basics Statistics
• Bayesian Statistics
• Biostatistics
• Business Statistics
• Causal Inference
• Chemometrics
• Computational Statistics
• Data Mining
• Data Statistics
• Decision Theory
• Demography
• Descriptive Statistics
• Design of Experiments
• Experimental Statistics
• Econometrics
• Energy Statistics
• Engineering Statistics
• Epidemiology
• Estimation Theory
• Geographic Information Systems
• Graphic Models and Related Theory
• High Dimensional Data Analysis
• Image Processing
• Multivariate Analysis
• Non-parametric Statistics
• Probability Theory and Computational Statistics
• Parametric Statistics
• Psychological Statistics
• Regression Analysis
• Random Variable Statistics
• Reliability
• Reliability Engineering
• Sample Survey
• Sampling Theory
• Semi Parametric Statistics
• Social Statistics
• Smoothing and Filters
• Statistical Inference
• Statistics: Probability Distributions
• Statistical analysis with Complex Data
• Statistical Computing
• Statistical Inference
• Statistical Methods
• Survival Analysis
• Theoretic Methods
• Time Series Analysis