VII ResumenMediante el uso del ensayo de penetracin con cono y medicin de presin de poros (CPTu), es posible el clculo de mltiples geoparmetros tiles para la caracterizacin del suelo y el diseo geotcnico, la mayora de los parmetros geotcnicos que pueden obtenerse del ensayo provienen de correlaciones empricas que requieren calibracin con otras tcnicas…
The American Statistician Template
Write in a clean editor, then format for The American Statistician in one click — DocuGuru applies the official Taylor & Francis template with author–year references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.
About the The American Statistician format
The American Statistician is a peer-reviewed journal published by Taylor & Francis, covering Advanced Statistical Methods and Models, Statistics Education and Methodologies, Statistical Methods and Bayesian Inference. Over its lifetime it has published 9,008 papers, which have received 264,676 citations.
| Publisher | Taylor & Francis |
|---|---|
| Reference style | Author–year (Chicago, T&F) Author–year — (Smith, 2023) in the text Smith, Ada, Ben Jones, and Cara Lee. 2023. "A Representative Article Title." The American Statistician 12 (3): 45–58.
Formats any DOI in The American Statistician style. No sign-up. |
| Publishes research in | Advanced Statistical Methods and Models Statistics Education and Methodologies Statistical Methods and Bayesian Inference Diverse Scientific and Economic Studies Human auditory perception and evaluation |
| ISSN | 0003-1305 |
| Citation impact (2-yr) | 1.43 |
| h-index | 211 |
| i10-index | 2,477 |
| Top institutions publishing here | Iowa State University |
| Journal website | www.tandfonline.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in The American Statistician per year
Citation impact of The American Statistician by publication year
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Most-cited papers in The American Statistician
Abstract Nonparametric regression is a set of techniques for estimating a regression curve without making strong assumptions about the shape of the true regression function. These techniques are therefore useful for building and checking parametric models, as well as for data description. Kernel and nearest-neighbor regression estimators are local versions of univariate location estimators, and…
Abstract Matched sampling is a method for selecting units from a large reservoir of potential controls to produce a control group of modest size that is similar to a treated group with respect to the distribution of observed covariates. We illustrate the use of multivariate matching methods in an observational study of the effects of…
Abstract Matched sampling is a method for selecting units from a large reservoir of potential controls to produce a control group of modest size that is similar to a treated group with respect to the distribution of observed covariates. We illustrate the use of multivariate matching methods in an observational study of the effects of…
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