Communications in Statistics - Theory and Methods
Published by Taylor & Francis
ISSN : 0361-0926 eISSN : 1532-415X
Abbreviation : Commun. Stat. Theory Method
Aims & Scope
The Theory and Methods series intends to publish papers that make theoretical and methodological advances in Probability and Statistics.
New applications of statistical and probabilistic methods will also be considered for publication.
In addition, special issues dedicated to a specific topic of current interest will also be published in this series periodically, providing an exhaustive and up-to-date review of that topic to the readership.
View Aims & ScopeMetrics & Ranking
Journal Rank
Year | Value |
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2024 | 12363 |
Journal Citation Indicator
Year | Value |
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2024 | 1683 |
Impact Factor
Year | Value |
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2024 | 0.60 |
SJR (SCImago Journal Rank)
Year | Value |
---|---|
2024 | 0.462 |
Quartile
Year | Value |
---|---|
2024 | Q3 |
h-index
Year | Value |
---|---|
2024 | 76 |
Impact Factor Trend
Abstracting & Indexing
Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.
Subjects & Keywords
Journal’s research areas, covering key disciplines and specialized sub-topics in Mathematics, designed to support cutting-edge academic discovery.
Most Cited Articles
The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.
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Further analysis of the data by Akaike's information criterion and the finite corrections
Citation: 1678
Authors: Nariaki
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Robust regression using iteratively reweighted least-squares
Citation: 1646
Authors: Paul W., Roy E.
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Goodness of fit tests for the multiple logistic regression model
Citation: 1478
Authors: David W., Stanley
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Approximations of the critical region of the fbietkan statistic
Citation: 767
Authors: Ronald L., James M.
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Small sample sensitivity analysis techniques for computer models.with an application to risk assessment
Citation: 592
Authors: Ronald L., W.J.
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Modeling failure time data by lehman alternatives
Citation: 530
Authors: Ramesh C., Pushpa L, Rameshwar D.