Fits the model to the sample covariance matrix that is the maximum likelihood estimate (rather than the unbiased estimate). In other words, the sample covariance matrix is composed of sums of squares and cross products divided by N (rather than by N – 1).
Syntax
object.FitMLMoments ()
The FitMLMoments method syntax has the following parts:
Part |
Description |
object |
An object of type AmosEngine. |
Placement: [1].
Default
Amos fits the model to the biased sample covariance matrix, which is the maximum likelihood estimate, unless you use the FitUnbiasedMoments method.
Remarks
FitMLMoments and InputMLMoments have different effects. InputMLMoments specifies that any sample covariance matrix that is read from a data file is a maximum likelihood estimate. FitMLMoments, on the other hand, tells Amos to fit the model to the sample covariance matrix ( in Appendices A and B) that is the maximum likelihood estimate.
See Also