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Statistical Modelling is a peer-reviewed journal published by SAGE, covering Statistical Methods and Bayesian Inference, Statistical Methods and Inference, Bayesian Methods and Mixture Models.
| Publisher | SAGE |
|---|---|
| Reference style | Author–year (Harvard) Author–year — (Smith, 2023) in the text Smith, A., Jones, B. and Lee, C. (2023) 'A representative article title', Statistical Modelling, 12(3), pp. 45–58.
Formats any DOI in Statistical Modelling style. No sign-up. |
| Publishes research in | Statistical Methods and Bayesian Inference Statistical Methods and Inference Bayesian Methods and Mixture Models Advanced Statistical Methods and Models Statistical Distribution Estimation and Applications |
| ISSN | 1471-082X |
| Citation impact (2-yr) | 1.03 |
| h-index | 62 |
| i10-index | 282 |
| Total citations | 15,809 |
| Top institutions publishing here | KU Leuven |
| Journal website | us.sagepub.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Many types of studies examine the influence of selected variables on the conditional expectation of a proportion or vector of proportions, for example, market shares, rock composition, and so on. We identify four distributional categories into which such data can be put, and focus on regression models for the first category, for proportions observed on…
The prediction of future mortality rates is a problem of fundamental importance for the insurance and pensions industry. We show how the method of P-splines can be extended to the smoothing and forecasting of two-dimensional mortality tables. We use a penalized generalized linear model with Poisson errors and show how to construct regression and penalty…
For count responses, the situation of excess zeros (relative to what standard models allow) often occurs in biomedical and sociological applications. Modeling repeated measures of zero-inflated count data presents special challenges. This is because in addition to the problem of extra zeros, the correlation between measurements upon the same subject at different occasions needs to…
In the social and other sciences many data are collected with a known but complex underlying structure. Over the past two decades there has been an increase in the use of multilevel modelling techniques that account for nested data structures. Often however the underlying data structures are more complex and cannot be fitted into a…
Compositional count data are discrete vectors representing the numbers of outcomes falling into any of several mutually exclusive categories. Compositional techniques based on the log-ratio methodology are appropriate in those cases where the total sum of the vector elements is not of interest. Such compositional count data sets can contain zero values which are often…
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