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Stats is a peer-reviewed journal published by MDPI, covering Statistical Methods and Bayesian Inference, Statistical Methods and Inference, Advanced Statistical Methods and Models. Over its lifetime it has published 591 papers, which have received 2,250 citations.
| Publisher | MDPI |
|---|---|
| Reference style | Numbered (MDPI) Numbered — [1], [2] in the text 1. Smith, A.; Jones, B.; Lee, C. A Representative Article Title. Stats 2023, 12, 45–58.
Formats any DOI in Stats style. No sign-up. |
| Publishes research in | Statistical Methods and Bayesian Inference Statistical Methods and Inference Advanced Statistical Methods and Models Statistical Distribution Estimation and Applications Bayesian Methods and Mixture Models |
| ISSN | 2571-905X |
| Citation impact (2-yr) | 1.26 |
| h-index | 20 |
| i10-index | 61 |
| Article processing charge | $1,299 |
| Open access | Yes — indexed in DOAJ |
| Top institutions publishing here | Universidade Federal de Pernambuco |
| Journal website | www.mdpi.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.
In a multiple linear regression model, the ordinary least squares estimator is inefficient when the multicollinearity problem exists. Many authors have proposed different estimators to overcome the multicollinearity problem for linear regression models. This paper introduces a new regression estimator, called the Dawoud–Kibria estimator, as an alternative to the ordinary least squares estimator. Theory and…
Negative spatial autocorrelation is one of the most neglected concepts in quantitative geography, regional science, and spatial statistics/econometrics in general. This paper focuses on and contributes to the literature in terms of the following three reasons why this neglect exists: Existing spatial autocorrelation quantification, the popular form of georeferenced variables studied, and the presence of…
Benford’s Law predicts that the first significant digit on the leftmost side of numbers in real-life data is distributed between all possible 1 to 9 digits approximately as in LOG(1 + 1/digit), so that low digits occur much more frequently than high digits in the first place. Typically researchers, data analysts, and statisticians, rush to…
On average, one in three Canadians will be affected by a legal problem over a three-year period. Unfortunately, whether it is legal representation or legal advice, the very high cost of these services excludes disadvantaged and most vulnerable people, forcing them to represent themselves. For these people, accessing legal information is therefore critical. In this…
Previous research provided a lot of discussion on the selection of regularization parameters when it comes to the application of regularization methods for high-dimensional regression. The popular “One Standard Error Rule” (1se rule) used with cross validation (CV) is to select the most parsimonious model whose prediction error is not much worse than the minimum…
