CategoricalGenLinModel.Solve Method

CategoricalGenLinModelSolve Method

Returns the parameter estimates and associated statistics for a CategoricalGenLinModel object.

Namespace: Imsl.Stat
Assembly: ImslCS (in ImslCS.dll) Version: 6.5.2.0

Syntax

public virtual double[,] Solve()

Public Overridable Function Solve As Double(,)

public:
virtual array<double,2>^ Solve()

abstract Solve : unit -> float[,] 
override Solve : unit -> float[,]

Type: Double
An nCoef row by 4 column double matrix containing the parameter estimates and associated statistics.

Exceptions

Exception	Condition
ClassificationVariableException	is thrown when the number of values taken by each classification variable has been set by the user to be less than or equal to 1
ClassificationVariableLimitException	is thrown when the sum of the number of distinct values taken on by each classification variable exceeds the maximum allowed, UpperBound
DeleteObservationsException	is thrown if the number of observations to delete has grown too large
RankDeficientException	is thrown if the model has been determined to be rank deficient

Remarks

Here, nCoef is the number of coefficients in the model. The statistics returned are as follows:

Column	Statistic
0	Coefficient estimate.
1	Estimated standard deviation of the estimated coefficient.
2	Asymptotic normal score for testing that the coefficient is zero.
3	$\rho$ - value associated with the normal score in column 2.