The ESTIMATOR journal accepts scientific articles resulting from experimental and/or computational research. Submitted articles must possess originality and novelty to contribute to the development of new knowledge in the fields of mathematics and statistics. This journal aims to publish research outcomes that can significantly impact practical applications as well as theoretical advancements.

Accepted articles encompass various topics, such as new statistical methods, computational data analysis, the application of mathematics in different scientific domains, the development of mathematical models, statistical techniques for big data, and innovations in mathematics education.

The ESTIMATOR journal emphasizes research that demonstrates novelty and has the potential to unveil new, beneficial applications in science and technology. Authors are expected to present their research clearly, with thorough analysis and logical interpretation, making the research outcomes accessible and understandable to the broader scientific community.

The topics of articles that can be submitted to the ESTIMATOR journal are as follows:

1. The field of statistics and its applications

2. The field of actuarial science

3. The field of data science

4. The field of mathematics and its applications

5. Mathematics in the field of education