Journal of the Indian Society for Probability and Statistics

Scope & Guideline

Empowering Research Through Rigorous Statistical Insights

Introduction

Immerse yourself in the scholarly insights of Journal of the Indian Society for Probability and 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
ISSN-
PublisherSPRINGERNATURE
Support Open AccessNo
Country-
Type-
Converge-
AbbreviationJ INDIAN SOC PROB ST / J. Indian Soc. Probab. Stat.
Frequency2 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressCAMPUS, 4 CRINAN ST, LONDON N1 9XW, ENGLAND

Aims and Scopes

The Journal of the Indian Society for Probability and Statistics primarily seeks to advance the field by publishing high-quality research that encompasses various aspects of probability theory and statistical methodology. It serves as a platform for both theoretical advancements and applied statistical research, reflecting the diverse interests of its readership.
  1. Probability Theory and Stochastic Processes:
    The journal features research focused on fundamental aspects of probability theory, including stochastic processes, queuing theory, and random phenomena modeling.
  2. Statistical Inference and Estimation:
    It emphasizes both classical and Bayesian approaches to statistical inference, including parameter estimation, hypothesis testing, and model selection.
  3. Applied Statistics and Data Analysis:
    The journal publishes studies that apply statistical techniques to real-world problems, spanning various fields such as bioinformatics, econometrics, and environmental statistics.
  4. Survival Analysis and Reliability Theory:
    Research on survival functions, reliability modeling, and risk analysis is a core area, reflecting the journal’s commitment to important applications in health and engineering.
  5. Multivariate Analysis and Regression Models:
    The journal includes work on multivariate statistical methods, regression analysis, and mixed-effects models, highlighting the complexity of real-world data.
  6. Nonparametric and Robust Statistical Methods:
    A focus on nonparametric approaches and robust estimation techniques is present, catering to the needs of researchers dealing with distribution-free data.
The journal is witnessing a dynamic evolution in its research themes, with several emerging trends that reflect contemporary challenges and methodologies in the field of statistics and probability. This section highlights these trending areas.
  1. Bayesian Methods and Applications:
    There is a significant increase in research employing Bayesian methodologies, indicating a growing acceptance of Bayesian approaches for their flexibility and ability to incorporate prior information in statistical modeling.
  2. Machine Learning and Statistical Learning Theory:
    The intersection of statistics with machine learning is becoming increasingly prominent, as researchers explore advanced algorithms and their applications in various domains, including health and finance.
  3. Complex Data Structures:
    Emerging themes include the analysis of complex data structures, such as high-dimensional data and longitudinal studies, showcasing the need for innovative statistical techniques.
  4. Survival Analysis Techniques:
    Innovations in survival analysis, particularly in the context of competing risks and time-to-event data, are gaining traction, reflecting the importance of these methods in medical and reliability studies.
  5. Statistical Methods for Big Data:
    The journal is increasingly publishing research focused on statistical methods tailored for big data challenges, addressing issues related to data volume, velocity, and variety.
  6. Spatial Statistics and Geostatistics:
    Research in spatial statistics is on the rise, highlighting the importance of analyzing spatial data and its applications in environmental science, epidemiology, and urban studies.

Declining or Waning

As the journal evolves, certain themes and methodologies have become less prominent in recent publications. This section outlines areas that appear to be waning, indicating a potential shift in focus among researchers.
  1. Traditional Parametric Models:
    There is a noticeable decline in the emphasis on conventional parametric models, suggesting a shift towards more flexible and robust statistical methods that accommodate complex data structures.
  2. Basic Descriptive Statistics:
    Research focused solely on basic descriptive statistics appears to be decreasing, as the field moves towards more sophisticated analyses that provide deeper insights into data.
  3. Classical Hypothesis Testing:
    The prevalence of classical hypothesis testing methods seems to be waning, possibly in favor of Bayesian approaches and modern alternatives that offer more nuanced interpretations.
  4. Single-Variable Statistical Methods:
    Studies concentrating on univariate statistical methods are becoming less common, reflecting a growing trend towards multivariate and complex modeling techniques that can better capture relationships among variables.

Similar Journals

STATISTICA NEERLANDICA

Advancing statistical science through rigorous scholarship.
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.

Thailand Statistician

Catalyzing Innovation in Statistics and Probability
Publisher: THAI STATISTICAL ASSOCISSN: 1685-9057Frequency: 2 issues/year

Thailand Statistician, published by the THAI STATISTICAL ASSOCIATION, is a pivotal journal in the realms of computational mathematics and statistics. With an ISSN of 1685-9057 and an E-ISSN of 2351-0676, this journal aims to disseminate high-quality research and innovative methodologies that advance the fields of statistics and probability. Covering a range of topics from theoretical statistics to applied computational techniques, it provides a platform for researchers, professionals, and students in Thailand and beyond to contribute their findings and insights. The journal has been gaining recognition, boasting a Scopus ranking of Q3 in Computational Mathematics and Q4 in Statistics and Probability as of 2023. With its commitment to open access, the Thailand Statistician stands as an essential resource for those striving to stay abreast of advancements in statistical methodologies and their applications, fostering the growth of statistical science in the region and globally.

Journal of Statistical Theory and Practice

Unlocking the potential of statistics for diverse domains.
Publisher: SPRINGERISSN: 1559-8608Frequency: 1 issue/year

The Journal of Statistical Theory and Practice is a premier publication dedicated to disseminating cutting-edge research and methodologies within the fields of statistics and probability. Published by Springer, this journal plays a crucial role in advancing the discipline by providing a platform for both theoretical and applied statistical research. With an ISSN of 1559-8608 and an E-ISSN of 1559-8616, the journal has established itself as a notable contributor to academic discourse since its inception in 2007. It offers insights that are essential for researchers, professionals, and students, fostering a deeper understanding of statistical applications across various domains. Despite its current Q3 ranking in Statistics and Probability, the journal is poised for growth, supporting the academic community with open access options and an aim to bridge the gap between statistical theory and everyday practice. By continuing to curate high-quality research, the Journal of Statistical Theory and Practice is committed to enriching the field and encouraging innovative statistical methodologies up until its envisaged convergence in 2024.

SCANDINAVIAN JOURNAL OF STATISTICS

Pioneering insights in the realm of statistical sciences.
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.

ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS

Navigating the Complexities of Statistics and Probability
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.

TEST

Empowering researchers through rigorous statistical insights.
Publisher: SPRINGERISSN: 1133-0686Frequency: 3 issues/year

TEST, published by Springer, is a prestigious academic journal that serves as a vital platform for research in the fields of Statistics and Probability. With an ISSN of 1133-0686 and an E-ISSN of 1863-8260, TEST has been at the forefront of statistical methodology and applications since its inception in 1992. As of 2023, the journal holds a Q2 ranking in both the Statistics and Probability, and Statistics, Probability and Uncertainty categories, affirming its position among the leading scholarly publications in these domains. Although it currently does not offer open access, its rich repository of peer-reviewed articles and innovative research findings continues to attract attention from researchers, professionals, and students alike. Positioned within the competitive landscape of mathematical sciences, TEST aims to advance both theoretical developments and practical applications in statistical science through high-quality publications. Researchers can greatly benefit from the insights and methodologies presented within its pages, as elucidated by its Scopus rankings, placing it in the 56th percentile for Mathematics in Statistics and Probability and 53rd for Decision Sciences. For further inquiries, TEST is headquartered at One New York Plaza, Suite 4600, New York, NY 10004, United States, where it continually strives to contribute to the evolution of statistical research.

BERNOULLI

Transforming Data into Knowledge for a Dynamic World
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.

ESAIM-Probability and Statistics

Empowering researchers with analytical breakthroughs.
Publisher: EDP SCIENCES S AISSN: 1292-8100Frequency: 1 issue/year

ESAIM-Probability and Statistics, published by EDP Sciences S A, is a prominent journal focused on advancing the field of probability and statistics. With an ISSN of 1292-8100 and E-ISSN 1262-3318, this journal has been a beacon of scholarly communication since its inception in 1997. Operating out of France, it offers a platform for researchers and professionals to share significant findings and foster collaboration within the statistical community. Designated as Q3 in the Statistics and Probability category for 2023, it plays a vital role in the dissemination of critical research, despite its recent Scopus ranking of 226 out of 278 indicative of its growing visibility and impact. Researchers, students, and professionals alike benefit from its rich pool of analytical insights and innovative methodologies, marking it as an essential resource for those immersed in statistical theory and applications. With a commitment to excellence in research, ESAIM-Probability and Statistics continues to contribute to the instructional and professional development of its readership.

COMMUNICATIONS IN STATISTICS-THEORY AND METHODS

Driving excellence in theoretical and methodological research.
Publisher: TAYLOR & FRANCIS INCISSN: 0361-0926Frequency: 24 issues/year

COMMUNICATIONS IN STATISTICS-THEORY AND METHODS is a distinguished journal published by Taylor & Francis Inc, dedicated to advancing the field of statistics through rigorous theoretical and methodological research. With an ISSN of 0361-0926 and an E-ISSN of 1532-415X, this journal serves as an essential platform for statisticians, researchers, and academics to disseminate their findings and engage in scholarly discourse. It covers a broad spectrum of topics within the realms of statistics and probability, maintaining its relevance in the academic community, as indicated by its prestigious Q3 category rank and Scopus percentile ranking of 51st in its field. Launched in 1976, the journal has been pivotal in shaping contemporary statistical methodologies up to 2024 and offers a robust archive of knowledge and insights, despite its non-Open Access status. By fostering high-quality peer-reviewed articles, COMMUNICATIONS IN STATISTICS-THEORY AND METHODS continues to play a vital role in the development and dissemination of statistical theory, making it indispensable for students and professionals striving to stay at the forefront of statistical science.

Communications in Mathematics and Statistics

Advancing the Frontiers of Mathematical Research
Publisher: SPRINGER HEIDELBERGISSN: 2194-6701Frequency: 4 issues/year

Communications in Mathematics and Statistics, published by Springer Heidelberg, is a prominent journal dedicated to advancing research in the fields of applied mathematics, computational mathematics, and statistics. With an ISSN of 2194-6701 and an E-ISSN of 2194-671X, the journal has established itself as a vital platform for interdisciplinary scholarly communication since its inception in 2013. The journal falls within the third quartile in various rankings including applied mathematics, computational mathematics, and statistics and probability, indicating its solid position in the global research landscape. With a focus on innovative methodologies and practical applications, Communications in Mathematics and Statistics aims to bridge the gap between theoretical research and practical implementation. Researchers, professionals, and students alike will find valuable insights and cutting-edge studies that contribute to the evolution of mathematical sciences. The journal is based in Germany, with a commitment to fostering international collaboration and accessibility in mathematical research.