Journal of the Indian Statistical Association

Journal of the Indian Statistical Association
Title	Journal of the Indian Statistical Association
Discipline	Statistics
Language	English
Publisher	Indian Statistical Association
Country	India
Frequency	Quarterly
History	1931–present

Journal of the Indian Statistical Association is a scholarly periodical published by the Indian Statistical Association that presents original research in statistical science. The journal has featured contributions from authors affiliated with Indian Statistical Institute, University of Cambridge, University of Oxford, Harvard University, and Stanford University, and has been cited in works related to All-India Institute of Medical Sciences, Council of Scientific and Industrial Research, International Statistical Institute, and Royal Statistical Society. The publication has intersected with developments at institutions such as Tata Institute of Fundamental Research, Massachusetts Institute of Technology, University of California, Berkeley, Princeton University, and University of Chicago.

History

The journal was founded in the early 20th century with ties to figures associated with Indian Statistical Institute, Calcutta University, Banaras Hindu University, Lucknow University, and Bombay University. Early editorial leadership included statisticians who collaborated with researchers from Imperial College London, University of Edinburgh, University of Cambridge, University of Oxford, and McGill University. Over decades the journal recorded work connected to projects at Tata Institute of Fundamental Research, All-India Institute of Medical Sciences, Council of Scientific and Industrial Research, Ford Foundation, and World Health Organization. Institutional links and contributions reflect exchanges with International Statistical Institute, Royal Statistical Society, Institute of Mathematical Statistics, American Statistical Association, and European Mathematical Society.

Scope and Content

The journal publishes research on theoretical and applied topics including probability, estimation, inference, sampling, multivariate analysis, time series, and stochastic processes, drawing submissions from authors at Indian Statistical Institute, Columbia University, Yale University, University of Michigan, and National University of Singapore. Articles have addressed case studies originating in datasets from World Bank, United Nations, International Monetary Fund, Indian Council of Medical Research, and National Aeronautics and Space Administration. Special issues and thematic sections have highlighted collaborations involving Tata Institute of Fundamental Research, All-India Institute of Medical Sciences, Centre for Development Studies, Indian Agricultural Research Institute, and Indian Institute of Technology Kanpur. Reviews and survey articles reference methodologies developed at Princeton University, Stanford University, Harvard University, Massachusetts Institute of Technology, and University of California, Berkeley.

Editorial Board and Peer Review

The editorial board has included editors and associate editors affiliated with Indian Statistical Institute, University of Cambridge, University of Oxford, Harvard University, and Stanford University. Peer review policies have been modeled on standards promoted by International Statistical Institute and Committee on Publication Ethics, with reviewers drawn from Institute of Mathematical Statistics, Royal Statistical Society, American Statistical Association, European Mathematical Society, and leading departments such as Tata Institute of Fundamental Research and Indian Institute of Science. Guest editors for special issues have been recruited from Princeton University, Yale University, Columbia University, University of Chicago, and University of Michigan.

Publication Details

The journal appears on a regular schedule with issues produced by the Indian Statistical Association and distributed to libraries and institutions including Indian Statistical Institute, National Library of India, British Library, Library of Congress, and major university libraries at University of Cambridge and Harvard University. Subscription and distribution networks have engaged printers and publishers connected to Oxford University Press, Cambridge University Press, Springer Nature, and Taylor & Francis for wider circulation. Digital archiving and backfile access efforts reference cooperative programs involving Digital Library of India, HathiTrust, JSTOR, Portico, and WorldCat.

Abstracting and Indexing

The journal is abstracted and indexed in major bibliographic services that aggregate content from sources such as Web of Science, Scopus, MathSciNet, Zentralblatt MATH, and databases maintained by ProQuest and EBSCO. Indexing entries link the journal to citation records used by Clarivate Analytics, Elsevier, National Science Foundation, Google Scholar, and catalogues at Library of Congress and British Library.

Impact and Reception

Scholarly reception of the journal is reflected in citations within works published by authors at Indian Statistical Institute, Harvard University, Stanford University, Princeton University, and University of California, Berkeley. The journal has been referenced in reports and monographs from World Health Organization, World Bank, United Nations Development Programme, Indian Council of Medical Research, and Council of Scientific and Industrial Research. Recognition includes acknowledgement in proceedings of International Statistical Institute, Royal Statistical Society, Institute of Mathematical Statistics, and citation indices compiled by Clarivate Analytics and Elsevier.

Category:Academic journals Category:Statistics journals Category:English-language journals