The bootstrap and quantitative structure activity relation multiple linear regression models for nonparametric estimates of standard error / by Efraim Halfon. : En13-5/85-21E-PDF
"A recently invented statistical method, the bootstrap, isused to verify whether a multiple regression model, developed from a limited data set, produces reliable predictions of toxicity if all possible data would have been available to develop the model. This statistical method allows generalization to chemicals of the same class not included in the original analysis. An example is taken from the literature and the errors associated with the coefficients of a multiple regression are computed using the bootstrap. Also, the multiple regression model is used to estimate the toxicity of a contaminant not used in model development and estimates with their relative probability are graphically displayed"--Abstract.
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publications.gc.ca/pub?id=9.847756&sl=1
| Ministère/Organisme | Canada. Environment Canada. National Water Research Institute (Canada) |
|---|---|
| Titre | The bootstrap and quantitative structure activity relation multiple linear regression models for nonparametric estimates of standard error / by Efraim Halfon. |
| Titre de la série | NWRI contribution ; 85-21 |
| Type de publication | Série - Voir l'enregistrement principal |
| Langue | [Anglais] |
| Format | Électronique |
| Document électronique | |
| Note(s) | Digitized edition from print [produced by Environment and Climate Change Canada]. "November 1984". Includes bibliographical references. Includes abstract and executive summary in French. |
| Information sur la publication | Burlington, Ont. : Aquatic Physics and Systems Division, National Water Research Institute, Canada Centre for Inland Waters, 1984. |
| Auteur / Contributeur | Halfon, Efraim. |
| Description | 8, [7] p. : ill. |
| Numéro de catalogue |
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| Descripteurs | Water quality Statistical analysis |
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