Nonlinear regression: Difference between revisions

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:<math> f(x,\boldsymbol\beta)= \frac{\beta_1 x}{\beta_2 + x} </math>
 
This function, knownwhich asis a rectangular hyperbola, is ''nonlinear'' because it cannot be expressed as a [[linear combination]] of the two ''<math>\beta</math>''s.
 
[[Systematic error]] may be present in the independent variables but its treatment is outside the scope of regression analysis. If the independent variables are not error-free, this is an [[errors-in-variables model]], also outside this scope.