JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS

Scope & Guideline

Exploring the Frontiers of Applied Statistical Research

Introduction

Welcome to your portal for understanding JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS, featuring guidelines for its aims and scope. Our guidelines cover trending and emerging topics, identifying the forefront of research. Additionally, we track declining topics, offering insights into areas experiencing reduced scholarly attention. Key highlights include highly cited topics and recently published papers, curated within these guidelines to assist you in navigating influential academic dialogues.
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

STATISTICA NEERLANDICA

Innovating methodologies for a deeper understanding of statistics.
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 Statistical Planning and Inference

Transforming Data into Knowledge with Expert Analysis
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.

JOURNAL OF APPLIED STATISTICS

Exploring the forefront of applied statistics across disciplines.
Publisher: TAYLOR & FRANCIS LTDISSN: 0266-4763Frequency: 12 issues/year

JOURNAL OF APPLIED STATISTICS, published by Taylor & Francis Ltd, is a prestigious scholarly resource that has been at the forefront of advancing the field of statistics since its inception in 1970. With ISSN 0266-4763 and E-ISSN 1360-0532, this esteemed journal focuses on the application of statistical methods across various disciplines, emphasizing practical implementations that provide significant insights into real-world problems. As a Q2 journal in both Statistics and Probability and Statistics, Probability and Uncertainty, it holds remarkable standings in Scopus, with ranks in the 77th and 74th percentiles, respectively. Researchers and professionals will find a wealth of rigorous methodologies and innovative analyses within its pages, aiming to bridge the gap between theory and practice. Although it adopts a traditional subscription model, its extensive archive—from 1970 to the present—offers invaluable resources for statisticians and data analysts. The journal serves as an essential platform for disseminating impactful research, making it a vital tool for students, researchers, and practitioners committed to the advancement of statistical science.

STATISTICS

Fostering innovation in the realm of statistics and probability.
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 PAPERS

Exploring New Dimensions in Statistical Methods
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.

Advances and Applications in Statistics

Innovating Solutions for Today’s Statistical Challenges
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.

Electronic Journal of Statistics

Connecting Scholars with Cutting-Edge Statistical Discoveries
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.

Econometrics Journal

Bridging Theory and Practice in Econometric Research
Publisher: OXFORD UNIV PRESSISSN: 1368-4221Frequency: 3 issues/year

Econometrics Journal, published by Oxford University Press, stands as a premier outlet for original research in the fields of Economics and Econometrics, boasting a commendable 2023 Q1 ranking within its category and an impressive 69th percentile rank in Scopus. Since its inception in 2006, the journal has consistently provided a platform for innovative methodologies and applications that contribute to the advancement of econometric theory and practice. With a focus on high-quality, peer-reviewed articles, the journal serves as a vital resource for researchers, professionals, and students alike, facilitating the dissemination of cutting-edge insights that push the boundaries of knowledge in economic analysis. Although it operates under a traditional subscription model, the journal's commitment to excellence and relevance in modern economic discourse positions it as an essential reference for those seeking to navigate the complexities of econometric research.

Sankhya-Series A-Mathematical Statistics and Probability

Elevating the Discourse in Probability and Statistical Methodologies
Publisher: SPRINGERISSN: 0976-836XFrequency: 2 issues/year

Sankhya-Series A-Mathematical Statistics and Probability is a prestigious academic journal published by SPRINGER, situated in the United States. With a focus on the rapidly evolving fields of mathematical statistics and probability, this journal serves as a critical platform for researchers, professionals, and students seeking to disseminate their findings and engage with latest advancements. Although it is not an open access publication, its rigorous peer-review process ensures high-quality content that contributes to the scholarly community. As of 2023, the journal is classified within the Q3 quartile in both Statistics and Probability, and Statistics, Probability and Uncertainty categories, reflecting its relevance and growing influence in the field. Sankhya-Series A showcases a convergence of interdisciplinary approaches, facilitating dialogue among statisticians and mathematicians, making it an essential resource for those committed to the exploration of theoretical and applied statistics. The journal accepts contributions advancing innovative research and methodologies, promoting a deeper understanding of probabilistic models and statistical techniques.

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.