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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| Title | The bootstrap and quantitative structure activity relation multiple linear regression models for nonparametric estimates of standard error / by Efraim Halfon. |
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| Publication type | Monograph - View Master Record |
| Language | [English] |
| Format | Digital text |
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| Description | 8, [7] p. : ill. |
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