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Computational Statistics is a peer-reviewed journal published by Springer Nature, covering Statistical Methods and Inference, Advanced Statistical Methods and Models, Statistical Methods and Bayesian Inference.
| 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. Computational Statistics 12:45–58
Formats any DOI in Computational Statistics style. No sign-up. |
| Publishes research in | Statistical Methods and Inference Advanced Statistical Methods and Models Statistical Methods and Bayesian Inference Bayesian Methods and Mixture Models Statistical Distribution Estimation and Applications |
| ISSN | 0943-4062 |
| Citation impact (2-yr) | 1.31 |
| h-index | 67 |
| i10-index | 649 |
| Total citations | 30,354 |
| Article processing charge | $3,090 |
| Top institutions publishing here | Centre National de la Recherche Scientifique |
| Journal website | link.springer.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.
This paper discusses a recent development in partial least squares (PLS) path modeling, namely goodness-of-fit indices. In order to illustrate the behavior of the goodness-of-fit index (GoF) and the relative goodness-of-fit index (GoF rel ), we estimate PLS path models with simulated data, and contrast their values with fit indices commonly used in covariance-based structural…
