AUSTRALIAN & NEW ZEALAND JOURNAL OF STATISTICS

Scope & Guideline

Catalyzing Progress in Statistical Methodologies and Applications

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

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.

ANNALS OF STATISTICS

Where Innovative Statistics Meets Global Impact
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.

Sankhya-Series B-Applied and Interdisciplinary Statistics

Advancing Applied Statistics for Tomorrow's Innovators
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.

SCANDINAVIAN JOURNAL OF STATISTICS

Elevating the discourse in statistics since 1996.
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.

COMPUTATIONAL STATISTICS & DATA ANALYSIS

Bridging Theory and Practice in Computational Mathematics
Publisher: ELSEVIERISSN: 0167-9473Frequency: 12 issues/year

COMPUTATIONAL STATISTICS & DATA ANALYSIS, published by Elsevier, is a leading academic journal that has made significant contributions to the fields of Applied Mathematics, Computational Mathematics, Computational Theory and Mathematics, and Statistics and Probability. With an impressive ranking of Q1 in multiple categories, this journal stands at the forefront of scholarly research and innovation. Leveraging its digital accessibility through E-ISSN 1872-7352, the journal facilitates the dissemination of high-quality research findings and methodologies essential for advancing statistical techniques and data analysis applications. Operating from its base in Amsterdam, Netherlands, the journal features rigorous peer-reviewed articles that cater to a diverse readership including researchers, professionals, and students. As a vital resource for cutting-edge developments from 1983 to its ongoing publication in 2025, COMPUTATIONAL STATISTICS & DATA ANALYSIS continues to foster academic discourse and propel the field forward, ensuring that emerging trends and established theories are effectively communicated to the scientific community.

STATISTICA NEERLANDICA

Fostering excellence in statistical research since 1946.
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.

Journal of the Indian Society for Probability and Statistics

Fostering Collaboration in Probability and Statistics
Publisher: SPRINGERNATUREISSN: Frequency: 2 issues/year

Journal of the Indian Society for Probability and Statistics, published by SpringerNature in Germany, is a prominent platform dedicated to advancing the field of statistics and probability. With its E-ISSN of 2364-9569, the journal features rigorous research articles, reviews, and theoretical advancements aimed at promoting the application of statistical methodologies in diverse areas. As part of the academic community since 2016, it has maintained a commendable Q3 ranking in the Statistics and Probability category for 2023, indicating its growing influence and relevance. As the journal aims to foster collaborations among statisticians and probabilists, it serves as an invaluable resource for researchers, professionals, and students looking to deepen their understanding and share innovative ideas. While the journal operates under a subscription model, its commitment to open access publication contributes to the broader dissemination of knowledge in this vital field, further enhancing its importance and utility within the scientific landscape.

STATISTICS

Connecting theory and practice in the world 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.

STATISTICAL SCIENCE

Elevating Data Analysis with Premier Research Contributions.
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.

Pakistan Journal of Statistics and Operation Research

Navigating Complexities with Cutting-edge Methodologies
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.