JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS

Scope & Guideline

Innovating Statistical Methodologies for Real-World Impact

Introduction

Immerse yourself in the scholarly insights of JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED 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
ISSN0035-9254
PublisherOXFORD UNIV PRESS
Support Open AccessNo
CountryUnited Kingdom
TypeJournal
Converge1981, from 1983 to 1991, 1993, from 1996 to 2024
AbbreviationJ R STAT SOC C-APPL / J. R. Stat. Soc. Ser. C-Appl. Stat.
Frequency5 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressGREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND

Aims and Scopes

The JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS focuses on the application of statistical methodologies to real-world problems, emphasizing innovative statistical techniques and their implications in various fields.
  1. Bayesian Methods:
    The journal frequently publishes research employing Bayesian methods for complex data analysis, particularly in medical statistics, epidemiology, and social sciences.
  2. Statistical Modelling and Inference:
    There is a strong focus on developing new statistical models and inference techniques, including mixed models, hierarchical models, and time-to-event analyses.
  3. Data Integration and Multivariate Analysis:
    The journal highlights works that integrate heterogeneous data sources, employing probabilistic models and multivariate techniques to extract meaningful insights.
  4. Innovative Applications:
    Research often explores innovative applications of statistical methods across various domains, including healthcare, environmental science, and economics, showcasing the practical relevance of statistics.
  5. Time Series and Longitudinal Data Analysis:
    The journal emphasizes methodologies for analyzing time series and longitudinal data, addressing challenges such as missing data and complex dependency structures.
Recent publications indicate several emerging themes reflecting the evolving landscape of applied statistics, driven by technological advancements and new research needs.
  1. Personalized Medicine and Treatment Selection:
    The journal has seen an increase in studies focusing on personalized medicine, particularly Bayesian approaches for treatment selection in complex diseases like cancer.
  2. Integration of Omics Data:
    There is a growing emphasis on the statistical integration of omics data, highlighting the relevance of multi-omics approaches in biomedical research.
  3. Machine Learning and Data Science Techniques:
    Emerging themes include the application of machine learning techniques within a statistical framework, reflecting the interdisciplinary nature of modern data analysis.
  4. Environmental and Public Health Statistics:
    Research addressing public health concerns, especially in relation to air quality and its effects on health outcomes, has become increasingly prominent.
  5. Dynamic Modelling and Longitudinal Studies:
    A trend towards dynamic modelling approaches for longitudinal data analysis is evident, with a focus on capturing time-varying effects and dependencies.

Declining or Waning

While the journal maintains a broad scope, certain themes appear to be declining in prominence based on recent publications.
  1. Traditional Frequentist Methods:
    There has been a noticeable decrease in the publication of papers solely focused on traditional frequentist statistical methods, suggesting a shift towards Bayesian and semi-parametric approaches.
  2. Basic Descriptive Statistics:
    Research that centers around basic descriptive statistics and simple hypothesis testing has become less frequent, with more complex methodologies gaining traction.
  3. Static Models:
    There is a waning interest in static models that do not account for temporal dynamics or changing relationships, reflecting a broader trend towards dynamic and adaptive statistical modeling.

Similar Journals

ANNALS OF STATISTICS

Empowering Researchers with Cutting-Edge Statistical Insights
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.

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.

Advances and Applications in Statistics

Charting New Territories in Statistical Methodology
Publisher: PUSHPA PUBLISHING HOUSEISSN: 0972-3617Frequency: 12 issues/year

Advances and Applications in Statistics is a pivotal academic journal devoted to the dissemination of high-quality research findings in the field of statistics and its diverse applications. Published by PUSHPA PUBLISHING HOUSE, this journal aspires to serve as a dynamic platform for researchers, professionals, and students who aim to share innovative statistical methodologies and explore their practical implications across various disciplines. The journal, with its influential ISSN 0972-3617, fosters open discussion and collaboration within the statistical community, aiming to bridge theoretical advancements with real-world applications. As part of its ongoing commitment to academic integrity and excellence, Advances and Applications in Statistics encourages submissions that not only advance statistical theory but also illustrate their utility in solving contemporary issues in industries such as healthcare, finance, and economics. Although currently lacking an impact factor, the journal's dedication to quality research positions it as a significant contributor to the field. Researchers and academics looking to publish their work in a stimulating and supportive environment will find in this journal a valuable resource.

REVSTAT-Statistical Journal

Empowering Researchers Through Open Access Innovation.
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.

Austrian Journal of Statistics

Bridging Theory and Practice in Statistical Research
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.

COMPUTATIONAL STATISTICS

Bridging computation and statistics for groundbreaking insights.
Publisher: SPRINGER HEIDELBERGISSN: 0943-4062Frequency: 4 issues/year

COMPUTATIONAL STATISTICS, published by Springer Heidelberg, is a prominent international journal that bridges the fields of computational mathematics and statistical analysis. Since its inception in 1996, this journal has served as a critical platform for disseminating high-quality research and advancements in statistical methodologies and computational techniques. Operating under Germany's esteemed scholarly tradition, it holds a commendable Q2 ranking in key categories such as Computational Mathematics and Statistics and Probability, reflecting its significant impact and relevance in the academic community. Although it does not offer Open Access, the journal remains a vital resource for researchers, professionals, and students seeking to enhance their understanding of the intricate interplay between computation and statistical inference. Each issue features rigorously peer-reviewed articles that contribute to the development of innovative methodologies and applications, thereby solidifying its role in shaping the future of computational statistics.

Electronic Journal of Applied Statistical Analysis

Catalyzing Progress in Applied Statistical Research
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

Advancing the Frontiers of Statistical Knowledge
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.

Electronic Journal of Statistics

Advancing Statistical Knowledge for All
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.

Journal of the Indian Society for Probability and Statistics

Advancing the Frontiers of Statistical Knowledge
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.