Journal of Multivariate Analysis, published by Elsevier Inc, stands as a pivotal resource in the disciplines of Numerical Analysis and Statistics. With a history of scholarly contribution since 1971, this journal has maintained a reputation for excellence, evidenced by its Q2 ranking in critical categories as of 2023. The journal covers a wide array of topics within multivariate statistical methods and their applications, making it an essential publication for researchers, professionals, and students seeking to deepen their understanding and application of sophisticated analytical techniques. Although not open-access, the journal provides valuable insights into the ever-evolving fields of statistics and probability, enabling readers to access and contribute to cutting-edge research up to the year 2024. By addressing significant theoretical and practical challenges in statistical analysis, Journal of Multivariate Analysis fosters a community of intellectual rigor and innovation.

The Oxford Bulletin of Economics and Statistics, published by Wiley, stands as a leading journal in the realms of Economics, Econometrics, and Statistics. Since its inception in 1973 and converging through to 2024, the journal has consistently positioned itself in the top quartile (Q1) across multiple categories, including Economics and Econometrics, Social Sciences, and Statistics and Probability, highlighting its influential status in the academic community. With a commendable ranking within Scopus, notably ranked #53 in Social Sciences and #28 in Statistics and Probability, it serves as a critical platform for disseminating rigorous research and innovative methodologies. Researchers, professionals, and students are encouraged to contribute and engage with the high-quality content that defines this esteemed journal, which does not currently offer Open Access but remains a pivotal resource for those seeking to deepen their understanding of economic and statistical paradigms in the pressing global landscape.

REVSTAT-Statistical Journal, published by the Instituto Nacional de Estatística (INE)Open Access model established in 2003, REVSTAT promotes the free dissemination of high-quality research, ensuring broad accessibility to its published works. Although it currently holds a Q4 category ranking in Statistics and Probability according to Scopus, the journal aims to enhance its contributions to the statistical community by featuring innovative methodologies, theoretical advancements, and applied statistical research. With a convergence period extending from 2010 to 2024, REVSTAT invites submissions that not only enrich the discipline but also encourage interdisciplinary collaboration. Its commitment to developing statistical knowledge makes it a noteworthy avenue for anyone seeking to engage with contemporary statistical discourse.

Statistics in Biosciences is a distinguished journal published by Springer, focusing on the innovative interplay between statistical methodologies and biosciences. Established in 2009, this journal aims to provide a platform for the dissemination of cutting-edge research in statistical applications within biochemistry, genetics, and molecular biology. With an impressive impact factor and a distinguished ranking in multiple categories, including Q2 in Biochemistry, Genetics and Molecular Biology (miscellaneous) and Q3 in Statistics and Probability, it serves as a crucial resource for researchers, professionals, and students seeking to deepen their understanding of statistical applications in biological contexts. The journal is accessible through traditional subscription models, ensuring that high-quality research remains available to a wide audience. Featuring contributions that advance statistical theory and application in the biosciences, Statistics in Biosciences is committed to fostering collaboration and innovation in a rapidly evolving scientific landscape.

SCANDINAVIAN JOURNAL OF STATISTICS is a premier publication in the field of statistics, published by Wiley. With an impressive impact factor that reflects its influence, this journal is recognized for its rigorous peer-reviewed research articles that contribute to the advancement of statistical methods and their applications. As a leading resource, the journal spans a wide range of topics within Statistics and Probability, maintaining a strong scholarly presence with a Q1 rank in Statistics and Probability and a Q2 rank in Statistics, Probability and Uncertainty as per the 2023 category quartiles. The journal has been diligently publishing high-quality research since 1996, and now encompasses studies up to 2024, reinforcing its commitment to providing valuable insights for researchers, professionals, and students alike. While the journal does not offer open access, it remains an essential repository of knowledge in statistical sciences, fostering collaboration and innovation within the global academic community.

COMMUNICATIONS IN STATISTICS-THEORY AND METHODS is a distinguished journal published by Taylor & Francis Inc, dedicated to advancing the field of statistics through rigorous theoretical and methodological research. With an ISSN of 0361-0926 and an E-ISSN of 1532-415X, this journal serves as an essential platform for statisticians, researchers, and academics to disseminate their findings and engage in scholarly discourse. It covers a broad spectrum of topics within the realms of statistics and probability, maintaining its relevance in the academic community, as indicated by its prestigious Q3 category rank and Scopus percentile ranking of 51st in its field. Launched in 1976, the journal has been pivotal in shaping contemporary statistical methodologies up to 2024 and offers a robust archive of knowledge and insights, despite its non-Open Access status. By fostering high-quality peer-reviewed articles, COMMUNICATIONS IN STATISTICS-THEORY AND METHODS continues to play a vital role in the development and dissemination of statistical theory, making it indispensable for students and professionals striving to stay at the forefront of statistical science.

Journal of Econometrics, published by ELSEVIER SCIENCE SA, is a leading journal in the fields of applied mathematics and econometrics, with a commendable reputation established since its inception in 1973. The journal's ISSN 0304-4076 and E-ISSN 1872-6895, reflect its commitment to quality research output, and it enjoys a high impact factor, ranking in the Q1 category for economics and applied mathematics as per the latest 2023 assessments. The journal aims to provide rigorous theoretical developments, empirical analyses, and methodologies in the rapidly evolving discipline of econometrics, thus catering to a diverse audience of researchers, professionals, and students alike. While currently not offered in an open access format, the quality and depth of research articles published within its pages make it a vital resource for anyone interested in the quantitative analysis of economic data. With a strong ranking in Scopus, particularly in the 96th percentile for applied mathematics, Journal of Econometrics continues to be at the forefront of academic inquiry, fostering advancements in both theory and practice within the global economy.

Regional Statistics, published by the Hungarian Central Statistical Office, is a leading scholarly journal that plays a pivotal role in enhancing the understanding of regional development and statistical analysis. With its ISSN 2063-9538 and E-ISSN 2064-8243, this open-access journal contributes significantly to various fields, including Cultural Studies, Economics, Geography, and Public Administration. The journal has established itself with impressive Scopus rankings, placing it in the top percentiles across multiple categories, evidencing its high-quality research outputs. Covering converged years from 2015 to 2024, Regional Statistics publishes insightful articles that address pressing regional issues, making it an invaluable resource for researchers, professionals, and students alike who are interested in the quantitative dimensions of society. With a reputation bolstered by its Q1 and Q2 categorizations in various disciplines, this journal is not only committed to advancing statistical knowledge but also to fostering interdisciplinary dialogue among statisticians, policymakers, and social scientists.

International Journal of Agricultural and Statistical Sciences, published by DR RAM KISHAN, is a prominent peer-reviewed journal dedicated to advancing research in the fields of agricultural sciences and statistical methodologies. With the ISSN 0973-1903 and E-ISSN 0976-3392, this journal serves as a vital platform for disseminating innovative research findings, data analyses, and theoretical approaches relevant to these areas. Although the journal's coverage in Scopus has been discontinued, it has previously demonstrated significant contributions to the academic community, holding ranks in the 45th percentile in both the 'Mathematics _ Statistics and Probability' and 'Agricultural and Biological Sciences' categories. Researchers and professionals can enhance their understanding of statistical applications in agriculture by engaging with the diverse range of articles published from 2009 to 2022. The journal values accessibility and aims to connect scholars globally, despite being a non-open access publication. This journal is essential for students, researchers, and practitioners seeking to bridge the gap between statistical science and agricultural practices.

JOURNAL OF TIME SERIES ANALYSIS, published by Wiley, is a premier academic journal dedicated to the field of time series analysis, serving as a pivotal resource for researchers, professionals, and students in applied mathematics and statistics. With a strong commitment to advancing scholarly knowledge since its inception in 1980, the journal focuses on innovative methodologies and applications in time series data, highlighting its relevance in various domains, including economics, finance, and environmental studies. Although the journal currently does not offer open access, it maintains a robust reputation, reflected in its 2023 Q1 and Q2 quartile rankings in applied mathematics and statistics, respectively. The contributions published in this journal are instrumental for advancing theoretical frameworks and practical applications in data analysis. Stay informed of cutting-edge research and methodologies by engaging with the JOURNAL OF TIME SERIES ANALYSIS, which is accessible through various academic databases.