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Statistical Methods & Applications is a peer-reviewed journal published by Springer Nature, covering Statistical Methods and Inference, Statistical Methods and Bayesian Inference, Advanced Statistical Methods and Models.
| Publisher | Springer Nature |
|---|---|
| Reference style | Numbered (Springer Basic) Numbered — [1], [2] in the text 1. Smith A, Jones B, Lee C (2023) A representative article title. Statistical Methods & Applications 12:45–58
Formats any DOI in Statistical Methods & Applications style. No sign-up. |
| Publishes research in | Statistical Methods and Inference Statistical Methods and Bayesian Inference Advanced Statistical Methods and Models Bayesian Methods and Mixture Models Financial Risk and Volatility Modeling |
| ISSN | 1613-981X |
| Citation impact (2-yr) | 0.88 |
| h-index | 47 |
| i10-index | 301 |
| Total citations | 11,888 |
| Article processing charge | $2,990 |
| Top institutions publishing here | University of Padua |
| Journal website | www.springer.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
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Nonparametric correlation estimators as the Kendall and Spearman correlation are widely used in the applied sciences. They are often said to be robust, in the sense of being resistant to outlying observations. In this paper we formally study their robustness by means of their influence functions and gross-error sensitivities. Since robustness of an estimator often…
