Canadian Journal of Statistics - Revue Canadienne de Statistique is a prestigious publication in the field of statistics, managed by Wiley. Since its inception in 1973, this journal has served as an essential resource for researchers, practitioners, and students, offering insights into a diverse range of statistical methodologies and applications. With its impact reflected in its 2023 categorization as Q2 in Statistics and Probability and Q3 in Statistics, Probability and Uncertainty, the journal stands out among its peers, exemplifying rigorous standards in empirical research. The journal's ISSN is 0319-5724 and its E-ISSN is 1708-945X, providing a robust platform for the dissemination of knowledge in the field. While it does not offer open access, the journal remains highly regarded and well-cited, contributing significantly to the advancement of statistical theory and practice. As it continues to publish cutting-edge research through to 2024, the Canadian Journal of Statistics is a must-read for anyone seeking to stay informed on the latest trends and developments in statistics.

METRIKA is a distinguished journal published by Springer Heidelberg, specializing in the field of Statistics and Probability. Since its inception in 1958, this journal has been pivotal in advancing the study and application of statistical methods, theory, and research. With an impressive academic legacy extending to 2024, METRIKA holds a Q2 category ranking in both Statistics and Probability and Statistics, Probability and Uncertainty, as of 2023, which underscores its significance within the scholarly community. Researchers and professionals will find that METRIKA not only emphasizes the recent developments and applications in the field but also aims to foster an interdisciplinary dialogue among statisticians and data scientists. Its contributions are invaluable for those seeking to navigate the complexities of statistical methodologies. Although the journal primarily operates under a traditional access model, its commitment to excellence and relevance in statistical discourse ensures that it remains an essential resource for academics, practitioners, and students alike.

Survey Methodology, published by STATISTICS CANADA, is a prominent academic journal dedicated to the exploration and advancement of survey methods across various domains. First established in 1987, this journal has become a significant resource for researchers, professionals, and students interested in methodological developments in data collection and statistical analysis. With a 2023 Q2 ranking in Modeling and Simulation and a Q3 ranking in Statistics and Probability, Survey Methodology provides a vital platform for disseminating innovative research and practical applications related to survey techniques, contributing to the field's robust discourse. Although it operates on a subscription basis, the journal's archives from its inception to present are invaluable for those seeking to deepen their understanding of contemporary survey practices. By bridging theory and application, Survey Methodology supports the continuous improvement of survey research, thus playing an essential role in shaping data-driven decision-making in both academic and applied settings.

Statistical Theory and Related Fields is a cutting-edge journal published by Taylor & Francis Ltd, dedicated to advancing the field of statistical theory and its applications across diverse disciplines. With an open access policy introduced in 2022, this journal strives to make high-quality research accessible to a global audience. Its ISSN 2475-4269 and E-ISSN 2475-4277 ensure that it is widely recognized in the academic community. The journal covers crucial topics ranked across various categories, including Q3 in Analysis and Applied Mathematics, and has a growing presence in important subfields of mathematics, as evidenced by its Scopus rankings. This positions it prominently as a valuable resource for researchers, professionals, and students seeking to explore and contribute to statistical theory and its related fields. With a commitment to fostering rigorous theoretical research, as well as practical applications, the journal plays a significant role in shaping the dialogue and advancements in statistics, probability, and computational theories.

BIOMETRICAL JOURNAL is a prestigious academic publication dedicated to advancing the fields of Medicine and Statistics. Published by WILEY since its inception in 1977, this journal plays a critical role in disseminating cutting-edge research and methodologies that bridge the gap between statistical theory and real-world medical applications. With an impressive Q1 ranking in both Medicine (miscellaneous) and Statistics, Probability and Uncertainty, it is recognized for its high-impact contributions to the scientific community. The journal actively encourages submissions that utilize innovative statistical techniques to address complex biomedical issues, making it an essential resource for researchers, professionals, and students aiming to enhance their understanding of quantitative approaches in health and medicine. Although the journal is not open access, its rigorous peer-review process guarantees the quality and relevance of published works, further establishing its significance in the academic landscape.

TEST, published by Springer, is a prestigious academic journal that serves as a vital platform for research in the fields of Statistics and Probability. With an ISSN of 1133-0686 and an E-ISSN of 1863-8260, TEST has been at the forefront of statistical methodology and applications since its inception in 1992. As of 2023, the journal holds a Q2 ranking in both the Statistics and Probability, and Statistics, Probability and Uncertainty categories, affirming its position among the leading scholarly publications in these domains. Although it currently does not offer open access, its rich repository of peer-reviewed articles and innovative research findings continues to attract attention from researchers, professionals, and students alike. Positioned within the competitive landscape of mathematical sciences, TEST aims to advance both theoretical developments and practical applications in statistical science through high-quality publications. Researchers can greatly benefit from the insights and methodologies presented within its pages, as elucidated by its Scopus rankings, placing it in the 56th percentile for Mathematics in Statistics and Probability and 53rd for Decision Sciences. For further inquiries, TEST is headquartered at One New York Plaza, Suite 4600, New York, NY 10004, United States, where it continually strives to contribute to the evolution of statistical research.

Behavior Research Methods is a premier, peer-reviewed journal published by Springer that holds a significant position within the fields of psychology and behavioral science. With its ISSN 1554-351X and E-ISSN 1554-3528, this esteemed journal has been a vital resource for researchers and practitioners since its inception in 1968. By providing insightful research on innovative methodologies in behavioral studies, it has achieved remarkable recognition, consistently ranking in the Q1 category across various psychological disciplines including Developmental and Educational Psychology, Experimental and Cognitive Psychology, and Arts and Humanities. Its current Scopus rankings place it firmly within the top echelons of academic journals, with impressive percentiles in several categories. The journal's objective is to advance knowledge and foster discourse on effective research methods related to human behavior, making it an essential platform for sharing groundbreaking findings and innovative approaches. While it does not offer open access, it continues to serve as a key reference for those looking to enhance their understanding of methodological advancements in behavior research. The journal is available to scholars and institutions both in the United States and globally, affirming its role as a beacon of scholarly excellence in psychology.

AMERICAN STATISTICIAN is a premier journal publishing high-quality research, reviews, and methodologies in the fields of statistics and mathematics. Established in 1947 and published by Taylor & Francis Inc, this esteemed journal holds an impressive Q1 ranking in Mathematics and Q2 rankings in Statistics and Probability, showcasing its significant influence within the academic community. With a substantial readership among researchers, educators, and professionals, the journal serves as a critical platform for advancing statistical science and providing innovative techniques that influence a range of disciplines. Though the journal does not operate under an open access model, it remains highly regarded, reflecting its robust editorial standards and commitment to fostering scholarly communication. Those seeking to contribute to or stay abreast of cutting-edge statistical developments will find the AMERICAN STATISTICIAN an essential resource for their academic and practical pursuits.

The JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C - APPLIED STATISTICS, published by the Oxford University Press, serves as a critical platform for disseminating innovative research within the field of applied statistics. With its ISSN 0035-9254 and E-ISSN 1467-9876, this journal provides a comprehensive resource for statisticians and practitioners alike, focusing on the development and application of statistical methodologies to real-world problems. As of 2023, it is ranked in the Q2 quartile within both the Statistics and Probability categories, reflecting its significant contribution to the discipline as evidenced by its Scopus ranking. Although it does not offer open access, the journal maintains a rigorous peer-review process and publishes issues regularly, with coverage extending from 1981 to 2024. By focusing on practical applications of statistical methods, the journal aims to bridge the gap between theory and application, making it an essential read for researchers, professionals, and students who are keen on advancing their understanding of statistics in various domains.

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, published by OXFORD UNIVERSITY PRESS, is a leading academic journal dedicated to advancing the field of statistical methodology. With a distinguished Q1 ranking in both Statistics and Probability and Statistics, Probability and Uncertainty as of 2023, this journal stands at the forefront of statistical research, serving as a vital resource for researchers, professionals, and students alike. The journal has been committed to fostering innovative statistical techniques and methodologies since its inception in 1997, covering a wide scope of topics that push the boundaries of statistical applications in various disciplines. Based in the United Kingdom, the journal maintains its reputation through rigorous peer-review practices and high-quality content, making it an indispensable platform for those looking to disseminate their findings and engage with current trends in statistical science. Although the journal does not offer open access, the impact and scholarly significance of its articles remain profoundly influential in shaping contemporary statistical discourse.