Usage of "nonlinear regression"

ruso

нелинейная регрессия

portugués

regressão não linear

español

regresión no lineal

catalán

regressió no lineal

In statistics, nonlinear regression is a form of regression analysis in which observational data are modeled by a function which is a nonlinear combination of the model parameters and depends on one or more independent variables.

non-linear regression

linear regression

regresión no lineal

Uso de nonlinear regression en inglés

Different exposure indices were estimated using nonlinear regression and Bayesian estimation. 
 Pubmed 

The CM Functions and adjustment functions were developed using linear and nonlinear regression models. 
 Pubmed 

The nonlinear regression algorithm is based on that of Gauss-Newton. 
 Pubmed 

A dedicated nonlinear regression based curve-fitting packages has been developed for quantitative analysis of beta-adrenoceptor subtypes. 
 Pubmed 

Pharmacokinetic and pharmacodynamic modeling were performed subject by subject for the 4 doses altogether by nonlinear regression. 
 Pubmed 

Here we considered phenomenological and microstructurally motivated constitutive models and identified material parameters for each via nonlinear regression. 
 Pubmed 

The binding data were analyzed simultaneously, using a computerized curve-fitting technique with an extended least-squares nonlinear regression program. 
 Pubmed 

Focusing on a Markovian version of the model, we develop a novel nonlinear regression model providing nonlinear least square estimators of model parameters. 
 Pubmed 

We performed linear and nonlinear regression analyses of the end-systolic points and derived the slope (Ees) and volume at 14 kPa pressure. 
 Pubmed 

In order to evaluate the variation of CMFs over time, crash modification functions (CMFunctions) were developed using nonlinear regression and time series models. 
 Pubmed 

We develop the theory in the setting of classical likelihood models; this setting covers, for example, linear regression, nonlinear regression, logistic regression, and Poisson regression. 
 Pubmed 

Elimination constant was calculated based on the dynamics of cisplatin concentration in time period between 1 h to 24 h using nonlinear regression analysis. 
 Pubmed 

Nonlinear regression analysis revealed maximum attainable receptor occupancy (E(max)) values close to saturation. 
 Pubmed 

The decrease in equivalent wound radius with time was computer-modelled using two linear and three nonlinear regressions. 
 Pubmed 

By using both linear and nonlinear regressions, two sets of mathematical models were developed for the prediction of Tg values of sugar caramels. 
 Pubmed 