The tolerance level used to determine convergence of the nonlinear least-squares and maximum likelihood algorithms.
public double ConvergenceTolerance {get; set;}
Property Value
A double scalar containing the tolerance level used to determine convergence of the nonlinear least-squares and maximum likelihood algorithms. ConvergenceTolerance represents the minimum relative decrease in sum of squares between two iterations required to determine convergence.
Remarks
ConvergenceTolerance must be greater than or equal to 0. By default, ConvergenceTolerance = 
.
See Also
ARAutoUnivariate Class | Imsl.Stat Namespace