SCOPUA Journal of Applied Statistical Research

About the Journal

SCOPUA Journal of Applied Statistical Research (JASR) ISSN 3104-4794 aims to serve as a comprehensive, peer-reviewed, open-access platform dedicated to advancing knowledge and fostering innovation in the field of applied statistical science. The journal publishes high-quality, original research articles, reviews, case studies, and tutorials that explore the development and application of statistical methodologies to solve complex real-world problems. Its scope covers a wide range of topics, including but not limited to, statistical theory and methods, biostatistics, data science, machine learning, statistical computing, data analytics, neutrosophic statistics, and statistical quality control. JASR is particularly focused on interdisciplinary research that bridges statistics with fields such as medicine, engineering, social sciences, business, environmental science, and computer science, promoting the integration of statistical tools in diverse areas. The journal welcomes submissions that address contemporary challenges in big data analytics, artificial intelligence, uncertainty modeling, and decision science, with special attention to innovative applications that have tangible societal or industrial impact. Emphasizing rigorous peer review and research transparency, JASR  (ISSN 3104-4794) strives to ensure the reproducibility of published studies by encouraging the sharing of data, methods, and code. Targeting a global audience of statisticians, researchers, data analysts, and practitioners, with a focus on emerging regions such as the Asia-Pacific, and the Middle East and all over the world, the journal seeks to be a leading forum for the dissemination of cutting-edge statistical knowledge and to support the growing demand for advanced statistical applications in various sectors.

SCOPUA Journal of Applied Statistical Research, ISSN 3104-4794, strictly adheres to international publishing standards.
COPE Code of Conduct
Scopus Content Selection & Advisory Board (CSAB)
DOAJ Principles of Transparency