本页对应的英文页面已更新,但尚未翻译。 若要查看最新内容,请点击此处访问英文页面。

非线性模型

具有多个预测变量的非线性回归

NonLinearModelNonlinear regression model class

函数

fitnlmFit nonlinear regression model
dispDisplay nonlinear regression model
fevalEvaluate nonlinear regression model prediction
predictPredict response of nonlinear regression model
randomSimulate responses for nonlinear regression model
dummyvarCreate dummy variables
hougenHougen-Watson model
plotPartialDependenceCreate partial dependence plot (PDP) and individual conditional expectation (ICE) plots
statsetCreate statistics options structure
statgetAccess values in statistics options structure
nlinfitNonlinear regression
nlintoolInteractive nonlinear regression
nlparciNonlinear regression parameter confidence intervals
nlpredciNonlinear regression prediction confidence intervals

示例和操作指南

Nonlinear Regression Workflow

Import data, fit a nonlinear regression, test its quality, modify it to improve the quality, and make predictions based on the model.

加权非线性回归

此示例说明如何将非线性回归模型与具有非常量误差方差的数据进行拟合。

Pitfalls in Fitting Nonlinear Models by Transforming to Linearity

This example shows pitfalls that can occur when fitting a nonlinear model by transforming to linearity.

Nonlinear Logistic Regression

This example shows two ways of fitting a nonlinear logistic regression model.

概念

Nonlinear Regression

Parametric nonlinear models represent the relationship between a continuous response variable and one or more continuous predictor variables.