Austrian Journal of Statistics

Scope & Guideline

Empowering Research Through Open Access Statistics

Introduction

Explore the comprehensive scope of Austrian Journal of Statistics through our detailed guidelines, including its aims and scope. Stay updated with trending and emerging topics, and delve into declining areas to understand shifts in academic interest. Our guidelines also showcase highly cited topics, featuring influential research making a significant impact. Additionally, discover the latest published papers and those with high citation counts, offering a snapshot of current scholarly conversations. Use these guidelines to explore Austrian Journal of Statistics in depth and align your research initiatives with current academic trends.
LanguageEnglish
ISSN1026-597x
PublisherAUSTRIAN STATISTICAL SOC
Support Open AccessYes
CountryAustria
TypeJournal
Convergefrom 2014 to 2024
AbbreviationAUSTRIAN J STAT / Aust. J. Stat.
Frequency2 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressC/O STATISTIK AUSTRIA, GUGLGASSE 13, WIEN W 1110, AUSTRIA

Aims and Scopes

The Austrian Journal of Statistics serves as a platform for the dissemination of innovative research in the field of statistics, emphasizing both theoretical advancements and practical applications. The journal is committed to fostering statistical methodologies that enhance data analysis across various domains.
  1. Statistical Theory and Methodology:
    The journal focuses on fundamental statistical theories and methodologies, including asymptotic properties, estimation techniques, and model development, providing a rigorous foundation for statistical analysis.
  2. Applied Statistics and Data Analysis:
    There is a consistent emphasis on applied statistics, highlighting real-world applications such as economic data analysis, health statistics, and environmental data, which bridge the gap between theory and practice.
  3. Statistical Modeling:
    The journal publishes research on various statistical modeling approaches, including generalized linear models, Bayesian methods, and stochastic processes, catering to the diverse needs of researchers and practitioners.
  4. Computational Statistics:
    Research that incorporates computational techniques, such as simulation studies and algorithm development for statistical estimation and optimization, is a key area, reflecting the increasing importance of computational tools in statistics.
  5. Multivariate and Time Series Analysis:
    There is a notable focus on multivariate statistics and time series analysis, addressing complex data structures and temporal dependencies, which are critical in various scientific fields.
The journal reflects a dynamic research landscape, with several emerging themes gaining traction over recent years. These themes highlight the journal's responsiveness to contemporary statistical challenges and innovations.
  1. Machine Learning and Data Science Applications:
    There is a marked increase in publications applying machine learning methods to various domains, including healthcare and finance, indicating a trend towards integrating statistical techniques with modern computational tools.
  2. Bayesian Statistics:
    Bayesian approaches are becoming increasingly prominent, with a growing number of papers exploring Bayesian estimation and inference methods, highlighting a shift towards more flexible and informative statistical modeling.
  3. Optimization Techniques in Statistics:
    Research focusing on optimization methods, particularly in complex models and multi-objective problems, is on the rise, reflecting the need for efficient solutions in statistical analyses.
  4. Statistical Applications in Health and Social Sciences:
    The journal is seeing an uptick in studies that apply statistical methods to health-related issues and social sciences, which demonstrates the relevance and applicability of statistics in addressing real-world problems.
  5. Advanced Time Series and Spatial Analysis:
    Emerging themes in advanced time series analysis and spatial statistics are gaining attention, particularly with the advent of new data sources and the need for sophisticated modeling of temporal and spatial data.

Declining or Waning

While the journal has maintained a strong focus on many core areas, certain themes appear to be declining in prominence over recent years. This section identifies those areas that have become less frequent in publication, indicating a potential shift in research interest.
  1. Traditional Goodness-of-Fit Tests:
    Although goodness-of-fit tests were once a staple of statistical research, recent publications suggest a decline in their prominence, as more researchers gravitate towards novel methodologies and Bayesian approaches.
  2. Basic Descriptive Statistics:
    The frequency of papers focusing solely on basic descriptive statistics has waned, possibly due to the growing complexity of statistical applications and the demand for more sophisticated analytical techniques.
  3. Classical Regression Models:
    Research centered on classical regression models appears to be diminishing, as emerging methodologies and machine learning techniques gain traction, reflecting a broader trend towards more advanced modeling approaches.

Similar Journals

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS

Advancing Practical Solutions Through Statistical Innovation
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.

STATISTICA NEERLANDICA

Empowering professionals with high-quality statistical inquiries.
Publisher: WILEYISSN: 0039-0402Frequency: 4 issues/year

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.

ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS

Exploring the Depths of Probability and Statistics
Publisher: SPRINGER HEIDELBERGISSN: 0020-3157Frequency: 5 issues/year

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.

Metron-International Journal of Statistics

Fostering global dialogue in statistical research.
Publisher: SPRINGER-VERLAG ITALIA SRLISSN: 0026-1424Frequency: 3 issues/year

Metron-International Journal of Statistics is a prestigious peer-reviewed journal published by SPRINGER-VERLAG ITALIA SRL, dedicated to advancing the field of statistics and probability. With an ISSN of 0026-1424 and an E-ISSN of 2281-695X, this journal has been a vital platform for scholarly research since its inception in 1973, showcasing works that redefine methodologies and applications within the field. Positioning itself in Q3 of the 2023 statistics category quartiles, Metron aims to foster dialogue and innovation among researchers and practitioners. Although currently not an open-access publication, it provides invaluable insights that contribute significantly to the statistical community's body of knowledge. Serving a diverse global audience, the journal encourages submissions that address both theoretical frameworks and practical applications in statistics, promising to enhance the rigor and relevance of statistical practice. Based in Milan, Italy, Metron continues to uphold its commitment to excellence in statistical research through thorough peer review and a focus on impactful findings.

Brazilian Journal of Probability and Statistics

Connecting Ideas, Inspiring Innovations in Statistics
Publisher: BRAZILIAN STATISTICAL ASSOCIATIONISSN: 0103-0752Frequency: 3 issues/year

The Brazilian Journal of Probability and Statistics, published by the Brazilian Statistical Association, stands as a pivotal platform for researchers and practitioners in the realms of probability and statistics. With an ISSN of 0103-0752, this esteemed journal has contributed significantly to the advancement of statistical theory and its applications since its inception. The journal is currently indexed in Scopus, holding a rank of #175 in the Statistics and Probability category and a third quartile (Q3) designation as of 2023, indicating its steady impact within the field. Covering a broad scope of topics, from theoretical advancements to practical applications, it invites submissions that enhance understanding and fosters discussion among academics and professionals alike. The journal is based in São Paulo, Brazil, and operates without open access, ensuring a quality review process that adheres to the highest scholarly standards. Researchers, professionals, and students interested in the latest findings and innovative methodologies in statistics are encouraged to engage with the Brazilian Journal of Probability and Statistics, a vital resource at the intersection of theory and practice.

STATISTICS

Pioneering research that addresses contemporary statistical challenges.
Publisher: TAYLOR & FRANCIS LTDISSN: 0233-1888Frequency: 6 issues/year

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.

ANNALS OF STATISTICS

Your Premier Source for High-Impact Statistical Discoveries
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

Unlocking the Potential of Statistics for Tomorrow's Challenges
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.

Thailand Statistician

Catalyzing Innovation in Statistics and Probability
Publisher: THAI STATISTICAL ASSOCISSN: 1685-9057Frequency: 2 issues/year

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.

Electronic Journal of Applied Statistical Analysis

Exploring the Depths of Applied Statistical Methodology
Publisher: UNIV STUDI SALENTOISSN: 2070-5948Frequency: 1 issue/year

Welcome to the Electronic Journal of Applied Statistical Analysis, a pivotal platform for researchers and practitioners in the domains of Statistics and Probability, as well as Modeling and Simulation. Published by Università del Salento in Italy, this journal has been dedicated to disseminating valuable insights and advancements in applied statistical methodology since its inception in 2008. With its ISSN of 2070-5948, the journal operates within an esteemed academic framework, contributing significantly to the field despite its current Q4 ranking in both Statistics and Probability and Modeling and Simulation categories as of 2023. As we continue to explore complex statistical models and simulation techniques, the journal encourages submissions that advance theoretical and practical understandings, inviting the global academic community to engage with transformative research endeavors. For those looking to stay informed and ahead in the dynamic world of applied statistics, the Electronic Journal of Applied Statistical Analysis is an essential resource.