nonlinear regression


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nonlinear regression

[′nän‚lin·ē·ər ri′gresh·ən]
(statistics)
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The older techniques include polynomial regression, linear regression with nonlinear terms and nonlinear regression.
Parameters of the hydraulic models are estimated by fitting the model to water-retention data with nonlinear regression and empirical relationship between basic soil properties and model parameters are then formed.
It requires a reliable nonlinear regression method to fit the relationship between the total individuals caught in paired traps and the inter-trap distance to an inverse trigonometric function of population density and effective trapping radius (equation 1; Zhao et al.
On the other hand, nonlinear regression is often used to develop empirical models with arbitrary relationships (usually nonlinear) between independent and dependent variables.
For the last decade Salford Systems has hosted computer training workshops at JSM to educate the leading statisticians, analysts, data scientists, and researchers on its flagship products CART decision trees, MARS nonlinear regression, TreeNet stochastic gradient boosting, and Random Forests.
Nonlinear regression was used to determine the regression parameters.
2011), describes the best approach for estimating and presenting the results of nonlinear regression models that include interaction terms among the explanatory variables.
Nonlinear regression using a hyperbolic equation like Equation 1 then estimates the k value based on the observed values of [V.
Topics include noisy time series, extended return map patterns, entropy, catastrophe models with nonlinear regression, oscillators with differential equations, and orbital decomposition.
Specific topics include: misclassification in estimating a proportion, simple and multiple linear regression, binary regression, and nonlinear regression.
The researchers examined interactions between the extracts and ingredients using a modified distance-based design that was analyzed by a linear, nonlinear regression model and trace plot.
The effect of muscle stiffness on the posturometric parameters was assessed with a bivariate correlation, nonlinear regression and with repeated-measures ANOVA on the task conditions.

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