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Then based on the database, the prediction formula is built by multivariate parametric regression.
Permeability, oil saturation, injection production pressure drop and injector producer spacing are selected as independent variables to establish the prediction formula by multivariate parametric regression.
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Then based on the database, multivariate parametric regression is applied to obtain the explicit function form.
In order to obtain the explicit function form, multivariate parametric regression is applied.
A multivariate parametric regression model (with and without frailty) was developed to analyse the prognostic factors related to the longevity of patients.
In order to get the explicit function between independent and dependent variables, multivariate parametric regressions are usually applied (Yuan et al. 2007).
Shame associated with condoms, sexual risk behaviour and knowledge about condoms as influencing factors were corroborated by the multivariate parametric logistic regression.
We then computed long-term survival expectations by parametric regression assuming a Weibull survival function.
The risk estimation was done by multivariate logistic regression analysis.
Covariables were considered by multivariate logistic regression analysis.
The latter finding was confirmed by multivariate logistic regression analysis.
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