Accord.NET Framework

## GeneralizedLinearRegressionChiSquare Method (Double, Double, Double) |

The likelihood ratio test of the overall model, also called the model chi-square test.

Syntax

Request Example
View Source#### Parameters

#### Return Value

Type: ChiSquareTest

- input
- Type: SystemDouble

A set of input data. - output
- Type: SystemDouble

A set of output data. - weights
- Type: SystemDouble

The weights associated with each input vector.

Remarks

The Chi-square test, also called the likelihood ratio test or the log-likelihood test is based on the deviance of the model (-2*log-likelihood). The log-likelihood ratio test indicates whether there is evidence of the need to move from a simpler model to a more complicated one (where the simpler model is nested within the complicated one).

The difference between the log-likelihood ratios for the researcher's model and a simpler model is often called the "model chi-square".

See Also