REVSTAT-Statistical Journal

Scope & Guideline

Advancing Statistical Knowledge, One Article at a Time.

Introduction

Welcome to your portal for understanding REVSTAT-Statistical Journal, featuring guidelines for its aims and scope. Our guidelines cover trending and emerging topics, identifying the forefront of research. Additionally, we track declining topics, offering insights into areas experiencing reduced scholarly attention. Key highlights include highly cited topics and recently published papers, curated within these guidelines to assist you in navigating influential academic dialogues.
LanguageEnglish
ISSN1645-6726
PublisherINST NACIONAL ESTATISTICA-INE
Support Open AccessNo
CountryPortugal
TypeJournal
Convergefrom 2010 to 2024
AbbreviationREVSTAT-STAT J / REVSTAT-Stat. J.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressAV ANTONIO JOSE ALMEIDA, 2, LISBON 1000-043, PORTUGAL

Aims and Scopes

REVSTAT-Statistical Journal is dedicated to advancing the field of statistics through high-quality research that employs innovative methodologies and applications across diverse disciplines. The journal emphasizes both theoretical and applied statistical research, aiming to foster knowledge that bridges gaps between statistical theory and real-world applications.
  1. Theoretical Statistics:
    The journal publishes cutting-edge research in theoretical statistics, focusing on the development of new statistical methodologies, models, and inferential techniques.
  2. Applied Statistics:
    Emphasis is placed on the application of statistical methods to real-world problems across various fields such as healthcare, engineering, and environmental studies.
  3. Robust and Nonparametric Methods:
    A significant focus on robust statistical techniques and nonparametric methods to address challenges posed by non-normal data distributions and outliers.
  4. Time Series and Forecasting:
    Research in this area includes innovative approaches to time series analysis and forecasting, particularly under complex conditions such as missing data or non-stationarity.
  5. Reliability and Survival Analysis:
    The journal features studies on reliability theory and survival analysis, providing insights into lifespan modeling and failure time data.
  6. Bayesian Inference:
    Bayesian methods are highlighted, showcasing their applications in parameter estimation and model comparison, reflecting the growing interest in Bayesian approaches.
Recent trends in REVSTAT-Statistical Journal highlight emerging themes that reflect the evolving landscape of statistical research. These themes indicate areas of growing interest and relevance in the field, as researchers explore innovative methodologies and applications.
  1. Machine Learning and Statistical Learning:
    There is an increasing trend of integrating machine learning techniques with statistical methodologies, particularly in prediction and classification tasks, reflecting the growing importance of data-driven approaches.
  2. Extreme Value Theory and Applications:
    Research on extreme value theory, especially in the context of environmental data (e.g., flood modeling), has gained traction, emphasizing the need for robust methods to handle extreme events.
  3. Modeling of Skewed and Heavy-Tailed Distributions:
    A notable interest in modeling skewed and heavy-tailed distributions has emerged, as researchers recognize the prevalence of such data characteristics in various fields.
  4. Longitudinal and Time Series Data Analysis:
    The analysis of longitudinal data and time series has seen a rise, particularly with innovative methodologies to handle complex data structures, missingness, and informative sampling.
  5. Statistical Methods for Health Data:
    Increasingly, statistical methods are being applied to health-related datasets, including epidemiological studies and clinical trials, which reflects a broader societal focus on health and medicine.

Declining or Waning

While REVSTAT-Statistical Journal continues to cover a wide range of statistical topics, certain themes have become less prominent in recent publications. This decline may reflect changing research interests or advancements in methodology that have rendered previous approaches less relevant.
  1. Traditional Frequentist Methods:
    There appears to be a waning focus on traditional frequentist statistical methods in favor of more modern and flexible Bayesian approaches, as researchers seek more adaptable frameworks for statistical inference.
  2. Basic Descriptive Statistics:
    The publication of papers centered solely on basic descriptive statistics has decreased, indicating a shift towards more complex analyses and model-based approaches that provide deeper insights.
  3. Simple Linear Regression:
    Research focusing exclusively on simple linear regression models is less frequent, suggesting a trend towards multivariate and more sophisticated regression techniques that better capture data complexities.

Similar Journals

ANNALS OF STATISTICS

Unveiling New Horizons in Statistical Theory and Practice
Publisher: INST MATHEMATICAL STATISTICS-IMSISSN: 0090-5364Frequency: 6 issues/year

ANNALS OF STATISTICS, published by the Institute of Mathematical Statistics (IMS), stands as a premier journal in the field of statistical science, particularly recognized for its rigorous peer-reviewed articles and innovative contributions. With an impressive impact factor and categorized in the Q1 quartile for both Statistics and Probability, as well as Statistics, Probability, and Uncertainty, this journal is a vital resource for researchers, professionals, and students alike. Covering a comprehensive array of statistical theories and methodologies from 1996 to 2024, it aims to foster the advancement of mathematical statistics while addressing contemporary challenges in data analysis and interpretation. The journal, operating without an Open Access model, remains a key platform for disseminating high-quality research, evident from its commendable Scopus rankings of Rank #9 out of 278 in Statistics and Probability and Rank #9 out of 168 in Decision Sciences. Located in Cleveland, Ohio, the ANNALS OF STATISTICS is not just a journal but a beacon of knowledge that continues to influence statistical practices globally.

AUSTRALIAN & NEW ZEALAND JOURNAL OF STATISTICS

Exploring Innovative Frontiers in Statistics and Probability
Publisher: WILEYISSN: 1369-1473Frequency: 4 issues/year

AUSRALIAN & NEW ZEALAND JOURNAL OF STATISTICS, published by Wiley, stands as a significant platform for the dissemination of statistical knowledge and applications, specifically within the realms of statistics and probability. With an impact factor reflective of its quality and standing, the journal operates in a Q3 category for both Statistics and Probability, as well as Statistics, Probability, and Uncertainty, positioning it among the important scholarly resources in its field. As a valuable resource for researchers, professionals, and students, the journal encourages the submission of innovative research articles that push the boundaries of statistical science. Offering both print and open access options, it ensures broad accessibility, promoting a culture of collaboration and knowledge sharing across the global statistical community. Covering research from 1998 to 2024, it remains dedicated to advancing understanding in statistical methodologies and their applications, cementing its role in fostering academic discourse and practical advancements in the field.

Statistica

Illuminating the Path of Statistical Advancements Since 1969
Publisher: UNIV STUDI BOLOGNA, DIPT SCIENZE STATISTICHE PAOLO FORTUNATIISSN: 0390-590XFrequency: 4 issues/year

Statistica, an esteemed journal published by the Università degli Studi di Bologna, Dipartimento di Scienze Statistiche Paolo Fortunati, is a vital resource within the fields of statistical science and applied mathematics. Since its inception in 1969, this open-access journal has served as a platform for original research and comprehensive reviews, facilitating the dissemination of knowledge to a global audience. As of 2023, it is indexed in Scopus, holding a noteworthy position in the 43rd percentile in the realm of Decision Sciences and Statistics. Researchers and practitioners benefit from its focus on contemporary statistical methods, data analysis, and probability theory. With a commitment to fostering academic dialogue and collaboration, Statistica aims to highlight innovative findings and applications, ensuring that the community remains at the forefront of statistical advancements.

STATISTICS & PROBABILITY LETTERS

Delivering impactful research in statistics since 1982.
Publisher: ELSEVIERISSN: 0167-7152Frequency: 12 issues/year

STATISTICS & PROBABILITY LETTERS is a distinguished journal published by ELSEVIER, dedicated to advancing the field of statistics and probability. With an ISSN of 0167-7152 and an E-ISSN of 1879-2103, this journal is an essential platform for research, featuring cutting-edge studies and significant findings in the realms of statistical theory and applied probability. The journal operates under a notable Q3 ranking in both the categories of Statistics and Probability, and Statistics, Probability and Uncertainty for 2023, underscoring its relevance in these fields. Researchers, professionals, and students alike benefit from its rigorous peer-review process and its commitment to published integrity, fostering innovative insights from 1982 through its anticipated convergence in 2025. While it does not offer open access, the journal’s widely recognized impact within the academic community makes it a valuable resource for anyone seeking to deepen their understanding of statistical methodologies and probabilistic models.

Chilean Journal of Statistics

Fostering excellence in statistical research and practice.
Publisher: SOC CHILENA ESTADISTICA-SOCHEISSN: 0718-7912Frequency: 2 issues/year

The Chilean Journal of Statistics is a vital resource for researchers, professionals, and students dedicated to the field of statistics and probability. Published by SOC CHILENA ESTADISTICA-SOCHE, this journal serves as a platform for the dissemination of innovative research and advancements in statistical methodologies, data analysis, and applications. With an ISSN of 0718-7912 and E-ISSN 0718-7920, the journal features contributions from the statistical community in Chile and beyond, reflecting its growing influence as evidenced by its classification in the Q3 quartile for 2023. Operating out of Chile, specifically from Santiago, the journal aims to converge its scope from 2019 to 2024 on providing high-quality, peer-reviewed articles that can inform and inspire academic and professional practices. While it is not an open-access journal, it remains a crucial outlet for impactful statistical research, fostering a deeper understanding of statistical concepts and their real-world applications.

Journal of Statistical Planning and Inference

Advancing Statistical Methodologies for Tomorrow's Challenges
Publisher: ELSEVIERISSN: 0378-3758Frequency: 12 issues/year

The Journal of Statistical Planning and Inference, published by ELSEVIER, stands as a significant platform within the fields of applied mathematics and statistics. With a history of rigorous scholarship since its inception in 1977, this journal provides a vital forum for researchers to share their advancements in statistical methodologies, planning, and inference techniques. As of 2023, it holds a respectable impact factor reflected in its Q2 rankings across multiple categories, including Applied Mathematics and Statistics and Probability, showcasing its influence and relevance in academic discourse. The journal is indexed in Scopus, with commendable rankings that affirm its scholarly merit, making it vital for professionals and students seeking the latest developments and research trends in statistical sciences. With a commitment to high-quality publications aimed at fostering innovation and practical solutions in statistical applications, the Journal of Statistical Planning and Inference is essential for anyone involved in empirical research and data-driven decision-making.

Austrian Journal of Statistics

Empowering Research Through Open Access Statistics
Publisher: AUSTRIAN STATISTICAL SOCISSN: 1026-597XFrequency: 2 issues/year

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.

JOURNAL OF BUSINESS & ECONOMIC STATISTICS

Bridging Theory and Practice in Economic Statistics
Publisher: TAYLOR & FRANCIS INCISSN: 0735-0015Frequency: 4 issues/year

JOURNAL OF BUSINESS & ECONOMIC STATISTICS is a premier academic journal published by Taylor & Francis Inc, dedicated to disseminating high-quality research in the fields of business, economics, and statistics. With an impressive impact in the academic community, the journal maintains a distinguished Q1 ranking across various categories including Economics and Econometrics, Social Sciences (miscellaneous), and Statistics and Probability, showcasing its relevance and influence in contemporary research. Since its inception in 1983, the journal has served as a vital resource for researchers, professionals, and students seeking insights into quantitative methodologies and their application in the economic domain. While the journal is not currently open access, its rigorous peer-review process ensures that published articles are of the highest scholarly standards. Researchers and practitioners alike will find a rich repository of empirical and theoretical studies that foster knowledge advancement in the intersecting realms of business, economics, and statistical analysis.

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS

Transforming Data into Actionable Knowledge
Publisher: OXFORD UNIV PRESSISSN: 0035-9254Frequency: 5 issues/year

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 Probability and Statistics

Empowering Insights in Probability and Statistics
Publisher: HINDAWI LTDISSN: 1687-952XFrequency: 1 issue/year

Journal of Probability and Statistics, published by HINDAWI LTD, is a distinguished open-access journal that has been serving the academic community since 2009. With an ISSN of 1687-952X and E-ISSN 1687-9538, this journal facilitates the dissemination of research covering various foundational and applied aspects of probability and statistics. As researchers, professionals, and students in the fields of mathematics and statistical sciences seek to advance their knowledge and understanding, this journal offers a unique platform for innovative studies and comprehensive reviews. Although the journal has been discontinued from Scopus from 2009 to 2020, it continues to play an essential role within its niche, despite its Scopus ranking of #181/227 (20th percentile) in Statistics and Probability. The open-access model ensures that valuable findings are readily accessible to a global audience, fostering collaboration and engagement across diverse disciplines. Join the multitude of contributors and readers who rely on the Journal of Probability and Statistics as a vital resource for research and education in this ever-evolving field.