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.

STATISTICS is a distinguished journal published by Taylor & Francis Ltd, dedicated to advancing the field of statistical science since its inception in 1985. With a strong focus on both the theoretical and practical aspects of Statistics and Probability, this journal serves as a vital platform for researchers, professionals, and students seeking to disseminate their findings and contribute to critical discussions in the discipline. Although categorized in the Q3 quartile for both Statistics and Probability and Statistics, Probability and Uncertainty, the journal's commitment to quality research is evidenced by its inclusion in relevant Scopus rankings. It holds respectable positions, ranked #132/168 in Decision Sciences and #219/278 in Mathematics. By providing a venue for high-quality research articles and reviews, STATISTICS aims to foster innovation, reinforce methodological advancements, and address contemporary challenges in statistical applications. The journal does not currently offer open access, but it is widely distributed, ensuring that significant research reaches the communities that need it most. Researchers are encouraged to submit their work to this essential resource that continues to shape the landscape of statistical inquiry.

Central European Journal of Economic Modelling and Econometrics (ISSN: 2080-0886, E-ISSN: 2080-119X) is a premier academic publication housed under the auspices of the Polish Academy of Sciences - Lodz Branch. Since its establishment, this journal has served as a crucial platform for scholars and practitioners alike, focusing on the dynamic realms of economic modeling and econometrics. The journal is dedicated to advancing the understanding of economic systems and statistical methodologies, striving to bridge theoretical approaches with practical applications. Although currently categorized in the Q4 quartile across various fields such as Applied Mathematics, Economics, and Statistics, its commitment to rigorous research and scholarly discourse ensures it remains an important resource for academics looking to contribute insights in these sectors. Published in Poland and featuring articles aimed at enhancing the body of knowledge in econometric modeling, this journal embraces an open-access model, allowing for greater dissemination of research findings to a global audience. Researchers, professionals, and students will find valuable contributions that not only highlight emerging trends but also foster innovation in the field of economic sciences.

Journal of Time Series Econometrics, published by WALTER DE GRUYTER GMBH, serves as a pivotal platform for current research within the fields of Economics and Econometrics. With an ISSN of 2194-6507 and E-ISSN 1941-1928, this journal is dedicated to the advancement of time series analysis techniques and their practical application in economic contexts. Operating from Germany, the journal seeks to foster a vibrant intellectual environment, inviting contributions that push the boundaries of established theories and methodologies. With an established influence in academia, recent evaluations have placed the journal within the Q4 category in the 2023 rankings for Economics and Econometrics, alongside a notable 39th percentile ranking in Scopus. Although currently lacking open access options, the journal promotes crucial discussions and knowledge dissemination on innovative econometric practices. The period from 2016 to 2024 marks a significant phase of convergence in the journal's evolution, promising ongoing relevance and engagement for researchers, professionals, and students eager to explore the complexities of time series analysis and its implications within economic theory.

ECONOMETRIC THEORY is a premier journal published by Cambridge University Press, specializing in the intricate field of econometrics. With a strong commitment to advancing economic research since its inception in 1985, this journal has earned a distinguished reputation as reflected by its Q1 rankings in both Economics and Econometrics, as well as in Social Sciences (miscellaneous) categories for 2023. With ISSN 0266-4666 and E-ISSN 1469-4360, it serves as an invaluable resource for scholars, researchers, and practitioners who seek to contribute to the field through high-quality, impactful research. Although open access is not available, the journal ensures rigorous peer review and publication standards, solidifying its position as a vital platform for disseminating crucial findings in econometric methodology, empirical applications, and theoretical advancements. With an impressive Scopus ranking, particularly within its broad categories, ECONOMETRIC THEORY is essential reading for those looking to stay at the forefront of research in econometrics.

Econometrics, published by MDPI, is a prominent open access journal based in Switzerland, dedicated to advancing research in the fields of economics and econometrics. Since its inception in 2013, this journal has been pivotal in disseminating innovative theories and empirical findings, fostering an engaging dialogue among scholars and practitioners. With an impressive Q2 ranking in the 2023 category of Economics and Econometrics and a solid position at #378 out of 716 in Scopus rankings, it stands as a vital resource for those seeking to enhance their understanding and application of econometric methods. The journal offers immediate open access to its published articles, ensuring that researchers, professionals, and students alike can easily access and contribute to the evolving body of knowledge in this essential discipline. The scope of Econometrics encourages submissions that cover a broad array of topics, making it a dynamic platform for innovative research until 2024 and beyond.

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.

Statistical Inference for Stochastic Processes is a premier academic journal published by SPRINGER, dedicated to advancing the field of statistical methods in stochastic processes. With an ISSN of 1387-0874 and an E-ISSN of 1572-9311, this journal provides a platform for rigorous research and innovative methodologies from 2005 through to 2024. It is positioned in the Q3 category for Statistics and Probability, ranking #194 out of 278 within the Scopus Mathematics domain, reflecting its significance among academic peers despite its relatively junior status in citation metrics. As a resource for researchers, professionals, and students alike, this journal aims to publish high-quality, peer-reviewed articles that contribute to the understanding and application of stochastic processes, making it an essential part of the statistical sciences landscape. While not offering open access, subscribers and institutions will find a wealth of knowledge and insights that are pivotal for both theoretical and practical advancements in statistics.

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.

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.