International Journal of Transformation in Applied Mathematics & Statistics
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 nonconformity, 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 highquality position papers are also published to keep readers uptodate 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
 BioInspired 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
 Nonparametric 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
