AUSTRALIAN & NEW ZEALAND JOURNAL OF STATISTICS

Scope & Guideline

Bridging Theory and Application in Statistical Science

Introduction

Immerse yourself in the scholarly insights of AUSTRALIAN & NEW ZEALAND JOURNAL OF STATISTICS with our comprehensive guidelines detailing its aims and scope. This page is your resource for understanding the journal's thematic priorities. Stay abreast of trending topics currently drawing significant attention and explore declining topics for a full picture of evolving interests. Our selection of highly cited topics and recent high-impact papers is curated within these guidelines to enhance your research impact.
LanguageEnglish
ISSN1369-1473
PublisherWILEY
Support Open AccessNo
CountryUnited Kingdom
TypeJournal
Convergefrom 1998 to 2024
AbbreviationAUST NZ J STAT / Aust. N. Z. J. Stat.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address111 RIVER ST, HOBOKEN 07030-5774, NJ

Aims and Scopes

The Australian & New Zealand Journal of Statistics focuses on advancing statistical theory, methodology, and applications across a diverse range of fields. It aims to promote the development and dissemination of statistical knowledge that can address real-world problems and enhance decision-making processes.
  1. Statistical Theory and Methodology:
    The journal emphasizes the development of new statistical theories and methodologies, covering various aspects such as Bayesian statistics, robust statistics, and non-parametric methods.
  2. Applied Statistics:
    It showcases applications of statistical methods to real-world problems, including areas like healthcare, environmental studies, and social sciences, demonstrating the utility of statistics in practice.
  3. Data Analysis and Modelling:
    Focus on innovative approaches to data analysis and modelling, including advanced regression techniques, time series analysis, and machine learning applications, to extract meaningful insights from complex datasets.
  4. Statistical Computing and Software Development:
    The journal supports the development of statistical software and computational methods, particularly in R and other programming environments, facilitating the accessibility of statistical tools.
  5. Interdisciplinary Research:
    It encourages interdisciplinary research that incorporates statistical methods into various fields, promoting collaboration between statisticians and practitioners from other domains.
The journal has seen the emergence of several trending themes reflecting contemporary challenges and advancements in the field of statistics. These are indicative of the evolving landscape of statistical research and its applications.
  1. Bayesian Statistics:
    Bayesian methods are increasingly prominent, highlighting their relevance in modern statistical analysis, particularly in handling uncertainty and incorporating prior knowledge into models.
  2. High-dimensional Data Analysis:
    There is a noticeable trend towards addressing high-dimensional data challenges, with methods developed for robust estimation and variable selection in complex datasets, especially relevant in genomics and social sciences.
  3. Machine Learning and Data Science Integration:
    The integration of machine learning techniques with traditional statistical methods is gaining traction, reflecting the demand for advanced data analysis capabilities in various fields.
  4. Causal Inference and Mediation Analysis:
    Research focusing on causal inference and mediation analysis is on the rise, emphasizing the importance of understanding causal relationships in observational data.
  5. Statistical Methods for Big Data:
    Emerging themes include the development of statistical methodologies tailored for big data applications, addressing the challenges of scalability and computational efficiency.

Declining or Waning

In recent years, certain themes within the Australian & New Zealand Journal of Statistics have shown a decline in prominence. This may reflect shifting interests in the statistical community or the maturation of specific methodologies.
  1. Traditional Parametric Models:
    There appears to be a declining focus on traditional parametric models as researchers increasingly turn to more flexible and robust statistical approaches, such as Bayesian and non-parametric methods.
  2. Basic Statistical Methods:
    The frequency of publications on foundational statistical methods has decreased, indicating a shift towards more complex and sophisticated analytical techniques that address contemporary data challenges.
  3. Single-variable Analysis:
    There is a waning emphasis on analyses that focus solely on single-variable relationships, with a growing preference for multivariate and complex models that capture interactions and dependencies.

Similar Journals

STATISTICS

Empowering researchers to shape the future of statistics.
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.

Sankhya-Series B-Applied and Interdisciplinary Statistics

Empowering Interdisciplinary Insights Through Statistics
Publisher: SPRINGERISSN: 0976-8386Frequency: 2 issues/year

Sankhya-Series B: Applied and Interdisciplinary Statistics, published by Springer in India, serves as a vital platform for advancing the field of applied statistics and interdisciplinary research. With an ISSN of 0976-8386 and an E-ISSN of 0976-8394, this journal has made significant contributions since its inception in 2010, continuing to publish impactful research until 2024. The journal is ranked in the third quartile across several categories, including Applied Mathematics and Statistics, reflecting its importance within the academic community. Although not an open-access journal, Sankhya-Series B provides robust access options for its readership, facilitating the dissemination and discussion of critical statistical methodologies and applications. Researchers, professionals, and students are encouraged to engage with the journal's comprehensive scope, which includes a focus on statistical theory, methodologies, and their practical applications across various disciplines. By providing a rigorous forum for scholarly exchange, this journal plays an essential role in shaping the future of applied statistics and fostering interdisciplinary collaboration.

BERNOULLI

Connecting Theory with Practice in Statistical Science
Publisher: INT STATISTICAL INSTISSN: 1350-7265Frequency: 4 issues/year

BERNOULLI is a prestigious peer-reviewed journal dedicated to the field of Statistics and Probability, published by the renowned International Statistical Institute. Since its inception in 1995, this journal has established itself as a vital resource for researchers and professionals, achieving a remarkable impact factor and consistently ranking in the top quartile (Q1) of its category as of 2023. With a strong presence in the Scopus database, where it ranks #64 among 278 journals in Mathematics, it places in the 76th percentile, underscoring its significance in the academic landscape. Although not an open-access journal, its contributions are pivotal for advancing statistical theory and its applications across various disciplines. As Berounlli continues to evolve until 2024, it remains committed to disseminating high-quality research that fosters innovation and supports the global analytics community. The journal’s scope encompasses a wide range of topics in statistics, including but not limited to theoretical statistics, applied statistics, and data analysis, making it an essential read for anyone engaged in statistical research.

Pakistan Journal of Statistics and Operation Research

Connecting Theory with Practice in Operations Research
Publisher: UNIV PUNJABISSN: 1816-2711Frequency: 4 issues/year

The Pakistan Journal of Statistics and Operation Research is an esteemed academic publication dedicated to the fields of statistics, operations research, and their applications. Published by University of Punjab, this journal features innovative research that contributes significantly to the advancement of knowledge in Management Science, Modeling and Simulation, and Statistics and Probability. With an impressive Scopus ranking and categorized in Q2 and Q3 quartiles, it actively disseminates high-quality findings in these critical areas of study, making it an essential resource for researchers, professionals, and students seeking to enhance their understanding and application of statistical methodologies and operational frameworks. Although it is primarily published in Pakistan, the journal’s influence is recognized internationally, encouraging a global perspective on complex statistical challenges. With its convergence years spanning from 2011 to 2024, readers can expect a continual flow of cutting-edge research and practical insights that address the evolving demands of the field.

Electronic Journal of Applied Statistical Analysis

Elevating Standards in Statistical Research and Application
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.

STATISTICAL PAPERS

Bridging Theory and Application in Statistics
Publisher: SPRINGERISSN: 0932-5026Frequency: 4 issues/year

STATISTICAL PAPERS, published by Springer, is a leading journal in the field of Statistics and Probability that has been contributing to the academic community since 1988. With an impressive track record spanning over three decades, this journal falls within the prestigious Q2 quartile in both the Statistics and Probability and Statistics, Probability and Uncertainty categories, signifying its high-quality research output. It currently ranks #92 out of 278 in the Mathematics - Statistics and Probability category and #61 out of 168 in Decision Sciences - Statistics, Probability and Uncertainty, placing it in the 67th and 63rd percentiles respectively. Although the journal is not open access, it offers a vital platform for researchers, professionals, and students seeking to disseminate their findings and stay abreast of the latest advancements in statistical methods and applications. With its commitment to the highest standards of scholarship, STATISTICAL PAPERS plays a crucial role in shaping contemporary statistical discourse and fostering innovation within the field.

SCANDINAVIAN JOURNAL OF STATISTICS

Where rigorous research meets statistical innovation.
Publisher: WILEYISSN: 0303-6898Frequency: 4 issues/year

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.

REVSTAT-Statistical Journal

Exploring New Frontiers in Statistics and Probability.
Publisher: INST NACIONAL ESTATISTICA-INEISSN: 1645-6726Frequency: 4 issues/year

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.

ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS

Fostering Excellence in Statistical Mathematics
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.

STATISTICAL SCIENCE

Advancing the Frontiers of Statistical Methodology.
Publisher: INST MATHEMATICAL STATISTICS-IMSISSN: 0883-4237Frequency: 4 issues/year

STATISTICAL SCIENCE, published by the Institute of Mathematical Statistics (IMS), stands as a premier journal in the fields of Statistics and Probability, commencing its journey in 1986 and continuing through 2024. With an impressive track record reflected in its Q1 quartile rankings in Mathematics, Statistics and Probability, and Statistics, Probability and Uncertainty for 2023, it holds a distinguished position in the academic community. The journal is recognized for its rigorous peer-review process and for publishing high-quality research that significantly contributes to advancing statistical methodology and its applications across various domains. Researchers and professionals are encouraged to engage with its contents to stay abreast of the latest developments and methodologies in statistical science. Although it does not offer open access, the valuable insights provided within its pages are essential for any scholar dedicated to the pursue of statistical excellence. As you navigate the complexities of data analysis and interpretation, STATISTICAL SCIENCE is your go-to resource for groundbreaking research, innovative techniques, and comprehensive reviews.