Information For Readers

BJEDIS (Brazilian Journal of Experimental Design, Data Analysis and Inferential Statistics) is a peer-reviewed, open access journal dedicated to advancing the methodological, theoretical, and applied aspects of experimental design, statistical modeling, and data analysis across diverse fields. We welcome readers from academic, professional, and interdisciplinary backgrounds who are interested in the responsible use of statistics and artificial intelligence to support research, innovation, and decision-making.

All articles are freely available immediately upon publication. Readers can access cutting-edge research on topics such as experimental planning, regression analysis, multivariate methods, Bayesian inference, machine learning, data visualization, and statistical applications in science, engineering, social sciences, health, and education.

BJEDIS promotes transparency, reproducibility, and educational accessibility by publishing detailed methodological appendices, datasets when available, and tutorials aimed at bridging the gap between statistical theory and real-world practice.

We encourage readers to engage with the content, cite the research, share articles with their communities, and contribute to the advancement of open and inclusive science.