Statistical Methods and Applications is a leading journal published by SPRINGER HEIDELBERG, dedicated to advancing the field of statistics and its applications in various domains. With an ISSN of 1618-2510 and an E-ISSN of 1613-981X, this journal serves as a vital resource for researchers and professionals looking to explore innovative statistical methodologies and their practical implications. The journal has demonstrated a notable influence within the scholarly community, ranked Q3 in both Statistics and Probability and Statistics, Probability and Uncertainty categories as of 2023. Covering a scope that spans from its inception in 1996 to the present, Statistical Methods and Applications provides robust platforms for empirical studies, theoretical advancements, and applied statistics. Although currently not open access, the journal is well-regarded for its rigorous peer-review process and commitment to high-quality research, making it an essential read for anyone dedicated to enhancing their statistical knowledge and expertise.

Thailand Statistician, published by the THAI STATISTICAL ASSOCIATION, is a pivotal journal in the realms of computational mathematics and statistics. With an ISSN of 1685-9057 and an E-ISSN of 2351-0676, this journal aims to disseminate high-quality research and innovative methodologies that advance the fields of statistics and probability. Covering a range of topics from theoretical statistics to applied computational techniques, it provides a platform for researchers, professionals, and students in Thailand and beyond to contribute their findings and insights. The journal has been gaining recognition, boasting a Scopus ranking of Q3 in Computational Mathematics and Q4 in Statistics and Probability as of 2023. With its commitment to open access, the Thailand Statistician stands as an essential resource for those striving to stay abreast of advancements in statistical methodologies and their applications, fostering the growth of statistical science in the region and globally.

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.

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.

Austrian Journal of Statistics, published by the AUSTRIAN STATISTICAL SOC, serves as a prominent platform for disseminating innovative research in the fields of statistics and applied mathematics. Established as an open-access journal in 1996, it aims to promote the exchange of knowledge and advancements among researchers, academics, and practitioners, particularly in Austria and beyond. With an ISSN of 1026-597X, this journal has gained recognition despite its current standing in the lower quartiles in various Scopus rankings. It covers a wide breadth of topics including statistics, probability, and uncertainty, appealing to a diverse audience of researchers aiming to enhance their understanding of these critical disciplines. By offering unrestricted access to its content, the Austrian Journal of Statistics provides invaluable resources for both emerging and established voices in the field, making it a vital source for academics and professionals alike. Research published here contributes to the ongoing dialogue surrounding statistical methodologies and applications, making it indispensable for anyone engaged in data analysis and interpretation.

The Journal of Statistical Theory and Practice is a premier publication dedicated to disseminating cutting-edge research and methodologies within the fields of statistics and probability. Published by Springer, this journal plays a crucial role in advancing the discipline by providing a platform for both theoretical and applied statistical research. With an ISSN of 1559-8608 and an E-ISSN of 1559-8616, the journal has established itself as a notable contributor to academic discourse since its inception in 2007. It offers insights that are essential for researchers, professionals, and students, fostering a deeper understanding of statistical applications across various domains. Despite its current Q3 ranking in Statistics and Probability, the journal is poised for growth, supporting the academic community with open access options and an aim to bridge the gap between statistical theory and everyday practice. By continuing to curate high-quality research, the Journal of Statistical Theory and Practice is committed to enriching the field and encouraging innovative statistical methodologies up until its envisaged convergence in 2024.

BIOMETRIKA, published by the esteemed Oxford University Press, stands as a pivotal journal in the fields of statistics, probability, and applied mathematics since its inception in 1908. With ISSN number 0006-3444 and E-ISSN 1464-3510, this journal maintains an impressive reputation, consistently achieving Q1 rankings across multiple categories including Agricultural and Biological Sciences, Applied Mathematics, and Statistics. Addressed to a global audience from its base in Oxford, United Kingdom, BIOMETRIKA serves as an essential platform for disseminating rigorous research aimed at advancing statistical methodologies and their applications. While the journal does not offer Open Access options, it is recognized for its high-impact output, holding significant positions in Scopus rankings - specifically attaining a 94th percentile rank in General Mathematics and a 91st percentile in Statistics and Probability. Scholars, professionals, and students alike will find in BIOMETRIKA a wealth of knowledge that bridges theory and practice within the vast domain of statistical science, making it indispensable for ongoing research and education in the field.

STATISTICAL SCIENCE, published by the Institute of Mathematical Statistics (IMS), stands as a premier journal in the fields of Statistics and Probability, commencing its journey in 1986 and continuing through 2024. With an impressive track record reflected in its Q1 quartile rankings in Mathematics, Statistics and Probability, and Statistics, Probability and Uncertainty for 2023, it holds a distinguished position in the academic community. The journal is recognized for its rigorous peer-review process and for publishing high-quality research that significantly contributes to advancing statistical methodology and its applications across various domains. Researchers and professionals are encouraged to engage with its contents to stay abreast of the latest developments and methodologies in statistical science. Although it does not offer open access, the valuable insights provided within its pages are essential for any scholar dedicated to the pursue of statistical excellence. As you navigate the complexities of data analysis and interpretation, STATISTICAL SCIENCE is your go-to resource for groundbreaking research, innovative techniques, and comprehensive reviews.

ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS, published by SPRINGER HEIDELBERG, is a prestigious academic journal that has played a pivotal role in the field of statistical mathematics since its inception in 1949. With a focus on advancing research in statistics and probability, this journal is ranked in the Q2 quartile for 2023, indicating its significance and impact within the academic community. Researchers and professionals engaged in statistical theory and methodology will find the journal's comprehensive coverage of contemporary issues essential for furthering their work and understanding of the discipline. The journal is accessible in print and digital formats, facilitating wide dissemination of knowledge among its readership. With a history of rigorous peer review and a commitment to high-quality research, the ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS continues to be a vital resource for academics and practitioners alike.

Korean Journal of Applied Statistics, published by the Korean Statistical Society, is a prominent journal dedicated to advancing the field of applied statistics. ISSN 1225-066X (Print) and E-ISSN 2383-5818 (Online), this journal serves as a vital platform for disseminating high-quality research that addresses the latest methodologies, applications, and innovations in statistical practices. Though currently not an open-access journal, it aims to foster collaboration among statisticians, researchers, and practitioners by providing rigorous peer-reviewed articles that enhance understanding and application of statistical techniques across various disciplines. With a commitment to integrating theory and practice, the Korean Journal of Applied Statistics stands as a crucial resource for those seeking to influence the evolving landscape of statistical research and its applications in Korea and beyond.