ISmSerialCorrelationLMTest.SummaryStatistics

Syntax

Description

The SummaryStatistics property returns summary statistics.

Comments

Summary statistics are calculated using general formulas.

Example

To execute the example, add a link to the Stat system assembly.

Sub UserProc;
Var
    Lm: SmSerialCorrelationLMTest;
    d0: Double;
    res: Integer;
    y, y0, y1, y2: Array[9] Of Double;
Begin
    Lm := New SmSerialCorrelationLMTest.Create;
    //values y, y0, y1, y2
    y[0] := 6209; y0[0] := 4110; y1[0] := 3415; y2[0] := 2822;
    y[1] := Double.Nan; y0[1] := 4280; y1[1] := 3673; y2[1] := 3023;
    y[2] := 6752; y0[2] := 4459; y1[2] := 4013; y2[2] := 3131;
    y[3] := 6837; y0[3] := 4545; y1[3] := 4278; y2[3] := 3351;
    y[4] := Double.Nan; y0[4] := 4664; y1[4] := 4577; y2[4] := 3463;
    y[5] := 6907; y0[5] := 4861; y1[5] := 5135; y2[5] := 3686;
    y[6] := 7349; y0[6] := 5195; y1[6] := 5388; y2[6] := 3815;
    y[7] := 7213; y0[7] := 5389; y1[7] := 5610; y2[7] := 3960;
    y[8] := 7061; y0[8] := 5463; y1[8] := 5787; y2[8] := 4119;
    Lm.Explained.Value := y;
    Lm.Explanatories.Add.Value := y0;
    Lm.Explanatories.Add.Value := y1;
    Lm.Explanatories.Add.Value := y2;
    Lm.ModelPeriod.FirstPoint := 1;
    Lm.ModelPeriod.LastPoint := 9;
    Lm.MissingData.Method := MissingDataMethod.SampleAverage;
    Lm.ModelCoefficients.Intercept.Mode := InterceptMode.AutoEstimate;
    Lm.LMOrder := 1;
    res := Lm.Execute;
    If res <> 0 Then
        Debug.WriteLine(Lm.Errors);
        Else
            Debug.WriteLine("=== Fisher Test ===");
            d0 := Lm.FTest.Statistic;
            Debug.WriteLine("value: " + d0.ToString);
            d0 := Lm.FTest.Probability;
            Debug.WriteLine("probability: " + d0.ToString);
            Debug.WriteLine("=== LM-statistic ===");
            d0 := Lm.ChiTest.Statistic;
            Debug.WriteLine("value: " + d0.ToString);
            d0 := Lm.ChiTest.Probability;
            Debug.WriteLine("probability: " + d0.ToString);
            Debug.WriteLine("== Summary statistics ==");
            d0 := Lm.SummaryStatistics.AIC;
            Debug.WriteLine("Akaike criterion: " + d0.ToString);
            d0 := Lm.SummaryStatistics.DW;
            Debug.WriteLine("Durbin-Watson statistic: " + d0.ToString);
    End If;
End Sub UserProc;

After executing the example the console window displays results of test calculation:

=== Fisher test ===

value: 0.0476108114852778

probability: 0.837953928924362

=== LM-statistic ===

value: 0.105864255069094

probability: 0.744902664803821

== Summary statistics ==

Akaike criterion: 14.0606356975859

Durbin-Watson statistic: 1.85614734236225