Sankhya-Series A-Mathematical Statistics and Probability

Scope & Guideline

Exploring Innovative Research in Statistical Theory and Applications

Introduction

Welcome to your portal for understanding Sankhya-Series A-Mathematical Statistics and Probability, 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
ISSN0976-836x
PublisherSPRINGER
Support Open AccessNo
CountryIndia
TypeJournal
Convergefrom 2010 to 2024
AbbreviationSANKHYA SER A / Sankhya Ser. A
Frequency2 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressONE NEW YORK PLAZA, SUITE 4600 , NEW YORK, NY 10004, UNITED STATES

Aims and Scopes

The journal Sankhya-Series A-Mathematical Statistics and Probability is dedicated to advancing the field of mathematical statistics and probability through rigorous research and innovative methodologies. It aims to publish high-quality papers that address significant theoretical and applied problems in these domains.
  1. Theoretical Developments in Statistics:
    The journal consistently publishes papers focusing on the theoretical underpinnings of statistical methods, including asymptotic theory, robustness, and properties of estimators.
  2. Bayesian and Non-Bayesian Inference:
    A significant portion of the research emphasizes both Bayesian and frequentist approaches to inference, exploring methodologies such as Bayesian modeling, empirical likelihood, and maximum likelihood estimation.
  3. Applications of Statistical Methods:
    The journal features applied statistics research across various fields, including medical statistics, environmental studies, and social sciences, showcasing the practical utility of statistical methodologies.
  4. Advanced Statistical Models:
    Research on complex statistical models, including mixed models, hierarchical structures, and nonparametric methods, reflects the journal's commitment to addressing intricate data scenarios.
  5. Computational Statistics:
    The incorporation of computational techniques and simulations into statistical methodology is a hallmark of the journal, highlighting its relevance in modern statistical practice.
The journal has seen a rise in interest in several emerging themes that reflect contemporary challenges and advancements in statistical research. These trends indicate a dynamic evolution in the field of mathematical statistics and probability.
  1. Functional Data Analysis:
    Recent publications have increasingly focused on methods for analyzing functional data, reflecting the growing importance of this area in various scientific applications, including medical imaging and environmental monitoring.
  2. Robustness and Adaptive Methods:
    There is a notable trend towards developing robust statistical methods that can handle deviations from standard assumptions, indicating a shift in focus towards ensuring reliability in statistical inference.
  3. Statistical Learning and Machine Learning Integration:
    The integration of statistical methodologies with machine learning techniques is gaining traction, as evidenced by the rise in papers discussing predictive modeling, variable selection, and model averaging strategies.
  4. Bayesian Approaches in Modern Statistics:
    The resurgence of Bayesian methods, particularly in the context of high-dimensional data and complex models, highlights a growing interest in these techniques as a powerful alternative to classical methods.
  5. Multivariate and High-Dimensional Statistics:
    Research in multivariate statistics and methods for high-dimensional data analysis is on the rise, reflecting the increasing complexity of data structures in modern applications.

Declining or Waning

While the journal covers a broad spectrum of statistical research, certain themes appear to be diminishing in prominence, indicating a shift in focus within the field.
  1. Traditional Parametric Methods:
    There is a noticeable decline in the publication of papers centered around classical parametric methods, as researchers increasingly explore nonparametric and semiparametric approaches that are deemed more flexible and robust.
  2. Basic Descriptive Statistics:
    Research focusing solely on basic descriptive statistics is less prevalent, suggesting a shift towards more complex analyses and inferential statistics that provide deeper insights into data.
  3. Elementary Probability Theory:
    Papers that concentrate on foundational aspects of probability theory without significant application or innovation are appearing less frequently, reflecting a move towards more advanced and specialized topics.

Similar Journals

Theory of Probability and Mathematical Statistics

Innovating Insights in Probability and Mathematical Statistics
Publisher: TARAS SHEVCHENKO NATL UNIV KYIV, FAC MECH & MATHISSN: 0094-9000Frequency: 2 issues/year

Theory of Probability and Mathematical Statistics, published by the Tarás Shevchenko National University of Kyiv, Faculty of Mechanics and Mathematics, serves as a vital resource for academics and practitioners in the field of statistics and probability. With an ISSN of 0094-9000 and E-ISSN 1547-7363, this journal aims to advance theoretical insights and practical applications related to probability theory and statistical methods. Operating from the heart of Ukraine, this journal has been influential since its inception in 2004 and continues to contribute to the academic community as it converges through a significant period until 2024. Despite currently not offering Open Access options, it maintains a respectable Q3 classification in both Statistics and Probability, highlighting its stability within the scholarly landscape. The journal's Scopus rankings further emphasize its specialization, ranking #121 in Statistics, Probability, and Uncertainty, and #203 in Mathematics, underscoring its importance for researchers, students, and professionals seeking to enrich their understanding and foster innovation in these disciplines.

Thailand Statistician

Unlocking the Power of Data for a Brighter Future
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.

Chilean Journal of Statistics

Advancing statistical knowledge for a brighter tomorrow.
Publisher: SOC CHILENA ESTADISTICA-SOCHEISSN: 0718-7912Frequency: 2 issues/year

The Chilean Journal of Statistics is a vital resource for researchers, professionals, and students dedicated to the field of statistics and probability. Published by SOC CHILENA ESTADISTICA-SOCHE, this journal serves as a platform for the dissemination of innovative research and advancements in statistical methodologies, data analysis, and applications. With an ISSN of 0718-7912 and E-ISSN 0718-7920, the journal features contributions from the statistical community in Chile and beyond, reflecting its growing influence as evidenced by its classification in the Q3 quartile for 2023. Operating out of Chile, specifically from Santiago, the journal aims to converge its scope from 2019 to 2024 on providing high-quality, peer-reviewed articles that can inform and inspire academic and professional practices. While it is not an open-access journal, it remains a crucial outlet for impactful statistical research, fostering a deeper understanding of statistical concepts and their real-world applications.

Journal of Statistical Theory and Practice

Bridging theory and practice in the world of statistics.
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.

BERNOULLI

Pioneering Excellence in Statistical Scholarship
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.

METHODOLOGY AND COMPUTING IN APPLIED PROBABILITY

Innovating methodologies to connect theory with practice.
Publisher: SPRINGERISSN: 1387-5841Frequency: 4 issues/year

METHODOLOGY AND COMPUTING IN APPLIED PROBABILITY is a distinguished journal published by SPRINGER, dedicated to advancing research in applied probability and its relationship with various computational methodologies. With an ISSN of 1387-5841 and an E-ISSN of 1573-7713, this journal provides a platform for innovative studies that bridge theory and practical application in the field of mathematics and statistics. Ranking in the Q2 category for Mathematics (miscellaneous) and Q3 for Statistics and Probability as of 2023, it reflects a robust academic discourse, featuring contributions that span a range of methodologies utilized in probability-related studies. The journal's sustained engagement in the academic landscape from 2004 to 2024 puts it at the forefront of ongoing developments in statistics and probability. Researchers, professionals, and students alike will find the insights found within to be invaluable for both theoretical understanding and practical implementation.

AUSTRALIAN & NEW ZEALAND JOURNAL OF STATISTICS

Catalyzing Progress in Statistical Methodologies and Applications
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.

SOUTH AFRICAN STATISTICAL JOURNAL

Exploring the depths of statistical science in a local context.
Publisher: SOUTH AFRICAN STATISTICAL ASSOCISSN: 0038-271XFrequency: 2 issues/year

SOUTH AFRICAN STATISTICAL JOURNAL, published by the SOUTH AFRICAN STATISTICAL ASSOCIATION, stands as a pivotal platform for advancing the field of statistics and probability, particularly within the South African context. Operating since 1996, this journal aims to bridge the gap between theoretical advancements and practical applications of statistical methodologies. Although currently categorized in the Q4 quartile in both Statistics and Probability, as well as Statistics, Probability and Uncertainty, it continues to serve as a crucial resource for researchers, practitioners, and students alike, encouraging the dissemination of research that tackles real-world statistical challenges. Despite not being an open access publication, the journal’s contributions are vital for anyone interested in the evolving landscape of statistical sciences, with each issue delving into diverse topics relevant to the field. With an ISSN of 0038-271X and an E-ISSN of 1996-8450, it invites the academic community to deepen their understanding and engagement with statistical practices through its thoughtfully curated content. The journal's emphasis on collaboration and knowledge-sharing is key in fostering innovation and enhancing statistical literacy within and beyond South Africa.

COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION

Transforming Data into Knowledge through Statistical Excellence
Publisher: TAYLOR & FRANCIS INCISSN: 0361-0918Frequency: 12 issues/year

COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, published by TAYLOR & FRANCIS INC, is a pivotal journal in the fields of statistics, modeling, and simulation, catering to an audience of researchers, professionals, and students. With an ISSN of 0361-0918 and an E-ISSN of 1532-4141, this esteemed journal has been disseminating knowledge since 1976, covering a wide range of innovative methodologies and applications in statistics. Ranked in the third quartile for both Modeling and Simulation, and Statistics and Probability, as per the 2023 Category Quartiles, this journal serves as a crucial platform for advancing academic discourse and practical applications in these areas. Though not open access, it houses a wealth of peer-reviewed articles that contribute to the advancement of statistical theory and computational techniques, while its Scopus ranking positions it among the significant publications in the relevant fields. For those looking to stay at the forefront of statistical science, this journal is an invaluable resource.

Pakistan Journal of Statistics and Operation Research

Empowering Insights through Innovative Research
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.