BivariateSampleNonlinearRegression Method

Finds the parameterized function that best fits the data.

Namespace: Meta.Numerics.Statistics
Assembly: Meta.Numerics (in Meta.Numerics.dll) Version: 4.1.4

Syntax

public NonlinearRegressionResult NonlinearRegression(
	Func<IReadOnlyList<double>, double, double> f,
	IReadOnlyList<double> start
)

Public Function NonlinearRegression ( 
	f As Func(Of IReadOnlyList(Of Double), Double, Double),
	start As IReadOnlyList(Of Double)
) As NonlinearRegressionResult

public:
NonlinearRegressionResult^ NonlinearRegression(
	Func<IReadOnlyList<double>^, double, double>^ f, 
	IReadOnlyList<double>^ start
)

member NonlinearRegression : 
        f : Func<IReadOnlyList<float>, float, float> * 
        start : IReadOnlyList<float> -> NonlinearRegressionResult

Parameters

f: Type: SystemFuncIReadOnlyListDouble, Double, Double
The parameterized function.
start: Type: System.Collections.GenericIReadOnlyListDouble
An initial guess for the parameters.

Return Value

Type: NonlinearRegressionResult
The fit result.

Exceptions

Exception	Condition
ArgumentNullException	f or start is null.
InsufficientDataException	There are not more data points than fit parameters.
DivideByZeroException	The curvature matrix is singular, indicating that the data is independent of one or more parameters, or that two or more parameters are linearly dependent.

Remarks

In the returned FitResult, the parameters appear in the same order as in the supplied fit function and initial guess vector. No goodness-of-fit test is returned.

Reference

BivariateSample Class

Meta.Numerics.Statistics Namespace

BivariateSampleAddLanguageSpecificTextSet("LSTF7DBE72A_0?cpp=::|nu=.");NonlinearRegression Method

Parameters

Return Value

Reference

BivariateSampleNonlinearRegression Method