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.

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.

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.

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.

Econometrics Journal, published by Oxford University Press, stands as a premier outlet for original research in the fields of Economics and Econometrics, boasting a commendable 2023 Q1 ranking within its category and an impressive 69th percentile rank in Scopus. Since its inception in 2006, the journal has consistently provided a platform for innovative methodologies and applications that contribute to the advancement of econometric theory and practice. With a focus on high-quality, peer-reviewed articles, the journal serves as a vital resource for researchers, professionals, and students alike, facilitating the dissemination of cutting-edge insights that push the boundaries of knowledge in economic analysis. Although it operates under a traditional subscription model, the journal's commitment to excellence and relevance in modern economic discourse positions it as an essential reference for those seeking to navigate the complexities of econometric research.

STATISTICA NEERLANDICA is a prestigious peer-reviewed journal published by Wiley, focusing on the fields of statistics and probability. Established in 1946 and addressing key issues in statistical theory and its applications, the journal has significantly contributed to the development of modern statistical practices. With an impressive Q2 categorization in both Statistics and Probability, as well as Statistics, Probability, and Uncertainty, STATISTICA NEERLANDICA stands out within its field, ranking in the 62nd percentile among its peers in mathematics, specifically in statistics and probability. Researchers, professionals, and students can benefit from its rigorous scholarship and innovative methodologies, aiding in the advancement of statistical science. Although the journal does not operate under an open access model, it maintains a commitment to disseminating high-quality research, making it a vital resource for those engaged in statistical inquiry.

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.

JOURNAL OF FORECASTING, published by Wiley, stands as a vital resource in the fields of forecasting and predictive analytics, dedicated to advancing theoretical and practical knowledge. With a rich history dating back to its inception in 1982, the journal covers an extensive range of disciplines, evidenced by its impressive standing across several Scopus rankings, including Q1 in Modeling and Simulation and Q2 in Economics, Management Science, and Statistics among others. The journal holds an esteemed impact factor, indicative of its rigorous peer-review process and the significance of its contributions, making it essential reading for researchers, practitioners, and students alike. While the journal is not open access, it offers various subscription options to ensure that its valuable content is accessible to a wider audience. As it converges towards its 2024 milestone, the JOURNAL OF FORECASTING continues to forge paths in methodological advancements and empirical applications, reinforcing its reputation as a foremost publication in predictive modeling.

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 Reviews, published by Taylor & Francis Inc, is a premier journal in the field of Economics and Econometrics, recognized for its significant contributions to the advancement of economic theory and practice since its inception. With its ISSN 0747-4938 and E-ISSN 1532-4168, the journal has maintained a consistent publication record from 1982 to 2024, offering a platform for groundbreaking research that shapes the landscape of quantitative economic analysis. With a proud place in the Q1 category for Economics and Econometrics as of 2023, it stands as a critical resource for scholars, practitioners, and students alike, actively engaging with themes such as econometric methods, theory, and policy implications. Although operating under a subscription model, the journal’s high impact factor reflects its esteem within the academic community, fostering a rich dialogue among researchers in this evolving discipline. The journal’s office is located at 530 Walnut Street, Ste 850, Philadelphia, PA 19106, USA, forging connections in one of the central hubs of economic research.