STATISTICS

Scope & Guideline

Nurturing quality research in statistics and probability.

Introduction

Welcome to the STATISTICS information hub, where our guidelines provide a wealth of knowledge about the journal’s focus and academic contributions. This page includes an extensive look at the aims and scope of STATISTICS, highlighting trending and emerging areas of study. We also examine declining topics to offer insight into academic interest shifts. Our curated list of highly cited topics and recent publications is part of our effort to guide scholars, using these guidelines to stay ahead in their research endeavors.
LanguageEnglish
ISSN0233-1888
PublisherTAYLOR & FRANCIS LTD
Support Open AccessNo
CountryUnited Kingdom
TypeJournal
Convergefrom 1985 to 2024
AbbreviationSTATISTICS-ABINGDON / Statistics
Frequency6 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND

Aims and Scopes

The journal 'STATISTICS' primarily focuses on advancing statistical methodologies and their applications across various fields. It aims to provide a platform for innovative research that contributes to theoretical foundations, practical applications, and the integration of statistical science with other disciplines.
  1. Statistical Theory and Methodology:
    The journal emphasizes the development of new statistical theories and methodologies, including robust estimation techniques, nonparametric methods, and Bayesian inference, which are essential for improving statistical analysis.
  2. Applications in Diverse Fields:
    Research published in the journal often applies statistical methodologies to real-world problems in fields such as finance, healthcare, environmental science, and engineering, showcasing the versatility of statistics.
  3. High-Dimensional Data Analysis:
    There is a strong focus on techniques for analyzing high-dimensional data, including machine learning approaches, variable selection methods, and graphical models, reflecting the growing importance of big data in contemporary statistics.
  4. Robustness and Efficiency:
    Many papers explore robust statistical methods that maintain performance under model deviations or outliers, emphasizing the need for reliable statistical tools in practical applications.
  5. Stochastic Processes and Time Series:
    The journal includes a significant number of articles on stochastic processes and time series analysis, addressing complex dependencies and forecasting methods that are crucial in various scientific areas.
The journal 'STATISTICS' has seen several emerging themes that reflect current trends in statistical research. This section outlines these trending areas, highlighting their relevance and potential impact on the field.
  1. Machine Learning and Statistical Integration:
    The integration of machine learning with traditional statistical methods is a rapidly growing area, as researchers seek to leverage the strengths of both fields for improved predictive modeling and data analysis.
  2. Robust and Adaptive Methods:
    There is an increasing emphasis on robust and adaptive statistical methods, which can handle a variety of data conditions, including outliers and non-standard distributions, reflecting a demand for more resilient statistical tools.
  3. Functional and Spatial Data Analysis:
    Research on functional data and spatial statistics is gaining traction, driven by advancements in data collection technologies and the need to analyze complex data types that vary over time or space.
  4. Applications of Bayesian Methods:
    Bayesian methods are increasingly prominent, with applications spanning diverse areas, including healthcare and finance, as researchers recognize their advantages in dealing with uncertainty and incorporating prior information.
  5. Time Series and Forecasting Techniques:
    There is a notable trend towards innovative time series analysis and forecasting techniques, particularly in the context of big data, highlighting the importance of accurate predictions in various domains.

Declining or Waning

While 'STATISTICS' continues to evolve, certain themes appear to be declining in prominence based on recent publications. This section highlights areas that are receiving less attention over time, indicating shifts in research focus.
  1. Classical Parametric Models:
    Research centered around classical parametric models has seen a decline, possibly due to the increasing interest in flexible, nonparametric, and machine learning approaches that offer more adaptability to complex data structures.
  2. Traditional Hypothesis Testing:
    There is a noticeable reduction in papers focused solely on traditional hypothesis testing, as the field shifts towards more nuanced approaches that incorporate Bayesian methods and machine learning techniques.
  3. Basic Statistical Inference Techniques:
    The foundational statistical inference techniques are being overshadowed by more advanced and computationally intensive methods, leading to fewer publications in this area.

Similar Journals

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.

Brazilian Journal of Probability and Statistics

Bridging Theory and Practice 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.

BIOMETRIKA

Connecting Global Minds in Statistics and Probability
Publisher: OXFORD UNIV PRESSISSN: 0006-3444Frequency: 4 issues/year

BIOMETRIKA, published by the esteemed Oxford University Press, stands as a pivotal journal in the fields of statistics, probability, and applied mathematics since its inception in 1908. With ISSN number 0006-3444 and E-ISSN 1464-3510, this journal maintains an impressive reputation, consistently achieving Q1 rankings across multiple categories including Agricultural and Biological Sciences, Applied Mathematics, and Statistics. Addressed to a global audience from its base in Oxford, United Kingdom, BIOMETRIKA serves as an essential platform for disseminating rigorous research aimed at advancing statistical methodologies and their applications. While the journal does not offer Open Access options, it is recognized for its high-impact output, holding significant positions in Scopus rankings - specifically attaining a 94th percentile rank in General Mathematics and a 91st percentile in Statistics and Probability. Scholars, professionals, and students alike will find in BIOMETRIKA a wealth of knowledge that bridges theory and practice within the vast domain of statistical science, making it indispensable for ongoing research and education in the field.

STATISTICS AND COMPUTING

Exploring the intersection of data and computation.
Publisher: SPRINGERISSN: 0960-3174Frequency: 1 issue/year

Statistics and Computing is a premier journal published by Springer, dedicated to advancing the fields of statistics and computational theory. With a strong focus on interdisciplinary research, this journal covers a broad spectrum of topics including, but not limited to, statistical methodologies, computational algorithms, and the latest advancements in data analysis. As of 2023, it proudly holds a Q1 ranking in multiple categories including Computational Theory and Mathematics and Statistics and Probability, underscoring its significant influence and recognition within the academic community. The journal's impact is further demonstrated by its commendable positions in Scopus ranks, making it a valuable resource for researchers, professionals, and students alike. Published in the Netherlands, Statistics and Computing is known for its rigorous peer-review process and commitment to quality, ensuring that only the most impactful research is disseminated to the global audience. Submissions from a diverse range of backgrounds are encouraged, fostering an inclusive environment for innovation and collaboration in the statistics and computing realm.

STATISTICAL PAPERS

Fostering Innovation in Statistical Discourse
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.

JIRSS-Journal of the Iranian Statistical Society

Advancing Statistical Knowledge for a Brighter Tomorrow.
Publisher: IRANIAN STATISTICAL SOCISSN: 1726-4057Frequency: 2 issues/year

JIRSS - Journal of the Iranian Statistical Society is a prominent academic journal dedicated to the field of statistics and probability, published by the esteemed Iranian Statistical Society. With its ISSN number 1726-4057 and E-ISSN 2538-189X, this journal serves as a vital platform for disseminating cutting-edge research and advancements in statistical methodology and its applications. Established in 2011, JIRSS has consistently contributed to the academic community, achieving a 2023 Scopus rank of #180 out of 278 in its category, placing it within the 35th percentile in the dynamic domain of Mathematics: Statistics and Probability. As an Open Access publication, it enhances accessibility for researchers, professionals, and students, facilitating a wider engagement with innovative statistical techniques and theories. The journal aims to foster collaboration and knowledge exchange among statisticians, ultimately enriching the field and its impact on various scientific disciplines.

Electronic Journal of Statistics

Empowering Research through Open Access Statistics
Publisher: INST MATHEMATICAL STATISTICS-IMSISSN: 1935-7524Frequency:

Electronic Journal of Statistics, published by INST MATHEMATICAL STATISTICS-IMS, is a premier open-access platform dedicated to the field of statistics and probability, with a remarkable track record since its inception in 2007. With an ISSN of 1935-7524, this journal has quickly established itself as a leading resource within the top Q1 category in both Statistics and Probability, as well as Statistics, Probability and Uncertainty, highlighting its significance and impact in the academic community. The journal’s commitment to disseminating high-quality research allows researchers, professionals, and students to access valuable findings and methodologies that contribute to the advancement of statistical sciences. With its convergence set to continue until 2024, the Electronic Journal of Statistics remains a vital source for scholars looking to enrich their knowledge and engage with cutting-edge statistical theories and applications.

Stat

Driving the conversation in cutting-edge statistical methodologies.
Publisher: WILEYISSN: 2049-1573Frequency: 1 issue/year

Stat is a respected academic journal published by WILEY, focusing on the vital fields of Statistics and Probability. Established in 2012 and converging through to 2024, this journal offers critical insights and advancements in statistical methodologies and applications. While it operates under traditional access options, researchers and practitioners can benefit from its rigorous peer-reviewed content, which serves to stimulate innovation and collaboration in statistics. In the 2023 categorizations, Stat has been recognized in the Q3 quartile in both Statistics and Probability and Statistics, Probability and Uncertainty, reflecting its growing influence and relevance in the field. Positioned within a competitive landscape, with Scopus ranks highlighting its challenges and opportunities, Stat is an essential resource for academics, professionals, and students seeking to deepen their understanding and application of statistical techniques. As the journal continues to evolve, it remains committed to fostering a community of inquiry and practice in statistics.

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.

Econometrics and Statistics

Bridging theory and practice in econometrics and statistics.
Publisher: ELSEVIERISSN: 2468-0389Frequency: 4 issues/year

Econometrics and Statistics is a premier journal published by Elsevier, dedicated to advancing the fields of Econometrics and Statistics. Since its inception in 2017, this journal has provided a platform for cutting-edge research, bridging theoretical foundations with practical applications to inform data-driven decision-making. With an impressive impact factor and positioned in the Q2 category across Economics, Econometrics, and Statistics in 2023, it ranks among the top-tier journals in its field, ensuring that the published works are recognized for their quality and relevance. The journal encompasses a broad scope that includes statistical methodologies, econometric analysis, and their interconnectedness, making it valuable for a diverse audience of researchers, professionals, and students. Although it operates under a traditional access model, ongoing efforts are being made to explore open-access publishing options to enhance the dissemination of knowledge. The journal's commitment to rigor and innovation solidifies its role in shaping the future of quantitative analysis.