Aims

Acadlore Transactions on Applied Mathematics and Statistics (ATAMS) (ISSN:) aims to provide a platform for researchers, academics, and professionals to publish original research articles, reviews, and technical notes in the multidisciplinary areas of applied mathematics and statistics.

The scope of this journal covers a wide range of topics related to the application of mathematical and statistical theories in various fields such as engineering, physical sciences, social sciences, economics and finances, and more. The journal welcomes papers that emphasize the development of new mathematical and statistical models, as well as the application of existing models to real-world problems.

The journal is committed to the highest standards of academic rigor and strives to publish papers that are both innovative and impactful. It provides a forum for the exchange of ideas and encourages interdisciplinary collaborations.

We hope that this journal will become a valuable resource for researchers, academics, and professionals who are interested in the application of mathematics and statistics to solve real-world problems.

The aim of ATAMS is to encourage scientists to publish their theoretical and experimental results in as much detail as possible. Therefore, the journal has no restrictions regarding the length of papers. Full details should be provided so that the results can be reproduced. In addition, the journal has the following features:

Authors from emerging countries enjoy the same high-quality services as those from the developed world.
Following a rigorous review process, the accepted papers are published quickly to minimize the time from submission to publication.
The published papers have maximum exposure under our open access policy.

Scope

The scope of the journal covers, but is not limited to the following topics:

Mathematical modeling: Using mathematical methods to describe and solve practical problems.
Statistical theory: Exploring new statistical methods, researching their properties and applications.
Data analysis and mining: Applying statistical and mathematical methods to analyze and mine data to derive useful conclusions.
Numerical computation and computational methods: Developing new numerical computation methods and algorithms and performing numerical simulations and computations.
Interdisciplinary fields of applied mathematics and statistics: Such as financial mathematics, medical statistics, biostatistics, environmental statistics, etc.