Sankhya-Series B-Applied and Interdisciplinary Statistics

Scope & Guideline

Championing Innovative Research in Applied Statistics

Introduction

Welcome to your portal for understanding Sankhya-Series B-Applied and Interdisciplinary 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
ISSN0976-8386
PublisherSPRINGER
Support Open AccessNo
CountryIndia
TypeJournal
Convergefrom 2010 to 2024
AbbreviationSANKHYA SER B / Sankhya Ser. B
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

Sankhya-Series B-Applied and Interdisciplinary Statistics focuses on advancing the field of applied statistics by integrating theoretical frameworks with practical applications across various disciplines. The journal aims to disseminate innovative statistical methodologies and their applications, providing a platform for researchers to share their findings and contribute to the statistical community.
  1. Applied Statistical Methods:
    The journal emphasizes the development and application of statistical methods to real-world problems across various fields such as health, finance, and environmental science.
  2. Interdisciplinary Research:
    Sankhya-Series B promotes interdisciplinary approaches, encouraging collaborations between statisticians and researchers from other fields to address complex problems.
  3. Bayesian Statistics:
    There is a strong focus on Bayesian methodologies, which are widely utilized in modern statistical analysis and provide robust frameworks for inference under uncertainty.
  4. Robust Statistical Techniques:
    The journal includes research on robust statistical techniques that address issues such as outlier detection, model diagnostics, and the influence of extreme values in data.
  5. Queueing Theory and Operations Research:
    Research in queueing systems and operations research methodologies is a consistent theme, reflecting the journal's commitment to practical applications in logistics and resource management.
  6. Statistical Modeling and Inference:
    The journal covers a wide range of statistical modeling techniques, including generalized linear models, mixed-effects models, and nonparametric methods, contributing to the field's methodological advancements.
The journal has identified and embraced several trending and emerging themes that reflect the current landscape of statistical research. These themes highlight the evolving nature of statistics and its applications in contemporary issues.
  1. Machine Learning and Data Science:
    There is a growing emphasis on integrating machine learning techniques with statistical methodologies, reflecting the increasing importance of data-driven decision-making across various domains.
  2. Missing Data Techniques:
    Research addressing missing data mechanisms and imputation methods has gained prominence, highlighting the need for robust solutions in analyzing incomplete datasets.
  3. Queueing Theory Innovations:
    Innovations in queueing theory, particularly related to dynamic systems and customer behavior modeling, have emerged as a significant focus area, relevant to operations research and service optimization.
  4. Bayesian Inference and Hierarchical Models:
    The application of Bayesian inference and hierarchical modeling is on the rise, providing flexible frameworks for complex data analysis and allowing for the incorporation of prior knowledge.
  5. Statistical Methods for Health Data:
    There is an increasing trend towards developing statistical methods specifically tailored for health data analysis, particularly in the context of public health and epidemiology.
  6. Robust and Nonparametric Methods:
    An uptick in research on robust and nonparametric statistical methods indicates a shift towards techniques that are less sensitive to model assumptions and outliers.

Declining or Waning

While the journal continues to cover a broad spectrum of statistical methodologies and applications, certain themes have shown a decline in prominence over recent years. These waning scopes reflect shifts in research focus and emerging statistical challenges.
  1. Traditional Frequentist Methods:
    There has been a noticeable decrease in papers focused solely on traditional frequentist statistical methods, as researchers increasingly favor Bayesian approaches and modern computational techniques.
  2. Basic Descriptive Statistics:
    Research focused on basic descriptive statistics has diminished, indicating a shift towards more complex modeling and inferential techniques that provide deeper insights into data.
  3. Simple Linear Regression Models:
    The prevalence of simple linear regression analyses appears to be declining, as the field moves towards more sophisticated methodologies that account for complex data structures and relationships.

Similar Journals

Statistical Methods and Applications

Pioneering advancements in statistical methods and their applications.
Publisher: SPRINGER HEIDELBERGISSN: 1618-2510Frequency: 5 issues/year

Statistical Methods and Applications is a leading journal published by SPRINGER HEIDELBERG, dedicated to advancing the field of statistics and its applications in various domains. With an ISSN of 1618-2510 and an E-ISSN of 1613-981X, this journal serves as a vital resource for researchers and professionals looking to explore innovative statistical methodologies and their practical implications. The journal has demonstrated a notable influence within the scholarly community, ranked Q3 in both Statistics and Probability and Statistics, Probability and Uncertainty categories as of 2023. Covering a scope that spans from its inception in 1996 to the present, Statistical Methods and Applications provides robust platforms for empirical studies, theoretical advancements, and applied statistics. Although currently not open access, the journal is well-regarded for its rigorous peer-review process and commitment to high-quality research, making it an essential read for anyone dedicated to enhancing their statistical knowledge and expertise.

ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS

Advancing the Frontiers of Statistical Knowledge
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.

Journal of the Indian Society for Probability and Statistics

Unlocking New Perspectives in Probability and Statistics
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.

STATISTICS

Pioneering research that addresses contemporary statistical challenges.
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.

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.

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.

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.

Statistics and Its Interface

Advancing Statistical Knowledge for Interdisciplinary Impact
Publisher: INT PRESS BOSTON, INCISSN: 1938-7989Frequency: 4 issues/year

Statistics and Its Interface, issn 1938-7989, published by INT PRESS BOSTON, INC, is a vital academic journal dedicated to bridging the critical intersection of statistics, applied mathematics, and interdisciplinary research. With its inaugural publication in 2011, this journal has continually aimed to provide a platform for innovative statistical methods and their application across various fields, offering valuable insights for researchers and practitioners alike. While the journal currently operates without an open access model, it maintains an essential position within the scholarly community, evidenced by its 2023 rankings in the third quartile for Applied Mathematics and the fourth quartile for Statistics and Probability. Furthermore, it holds a respectable position in Scopus rankings, reflecting its commitment to quality over quantity. By publishing cutting-edge research, Statistics and Its Interface serves as a critical resource for advancing statistical knowledge and cultivating a deeper understanding of its applications in real-world contexts.

Sankhya-Series A-Mathematical Statistics and Probability

Advancing the Frontiers of Mathematical Statistics and Probability
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.

Communications in Mathematics and Statistics

Fostering Global Collaboration in Mathematical Sciences
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.