Statistical Modelling

Aims & Scope

The primary aim of the journal is to publish original and high-quality articles that recognize statistical modelling as the general framework for the application of statistical ideas.

Submissions must reflect important developments, extensions, and applications in statistical modelling.

The journal also encourages submissions that describe scientifically interesting, complex or novel statistical modelling aspects from a wide diversity of disciplines, and submissions that embrace the diversity of applied statistical modelling.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	1

SJR (SCImago Journal Rank)

Year	Value
2024	0.513

Quartile

Year	Value
2024	Q2

h-index

Year	Value
2024	51

Journal Rank

Year	Value
2024	11345

Journal Citation Indicator

Year	Value
2024	101

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Decision Sciences and Mathematics, designed to support cutting-edge academic discovery.

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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.

• Regression analysis of variates observed on (0, 1): percentages, proportions and fractions

  Citation: 378

  Authors: Robert, B D

• Smoothing and forecasting mortality rates

  Citation: 306

  Authors: Iain D, Maria, Paul HC

• Random effect models for repeated measures of zero-inflated count data

  Citation: 302

  Authors: Yongyi, Alan

• Bayesian-multiplicative treatment of count zeros in compositional data sets

  Citation: 203

  Authors: Josep-Antoni, Karel, Matthias, Peter, Javier

• Multiple membership multiple classification (MMMC) models

  Citation: 196

  Authors: William J, Harvey, Jon

• Using the Box-Cox t distribution in GAMLSS to model skewness and kurtosis

  Citation: 160

  Authors: Robert A, D Mikis

• A statistical framework for the analysis of multivariate infectious disease surveillance counts

  Citation: 159

  Authors: Leonhard, Michael, Mathias

• Maximum likelihood estimation of mixed C-vines with application to exchange rates

  Citation: 156

  Authors: Claudia, Ulf, Aleksey

• Bayesian analysis of extreme events with threshold estimation

  Citation: 150

  Authors: Cibele N, Hedibert F, Dani

• Thinning-based models in the analysis of integer-valued time series: a review

  Citation: 141

  Authors: Manuel G., Christian H., Sónia

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