ISmCensus1.MissingData

Syntax

Description

The MissingData property determines missing data treatment parameters.

Comments

By default missing data is not treated.

Example

Add a link to the Stat system assembly.

Sub UserProc;
Var
    census1: SmCensus1;
    s: Array[45] Of Double;
    res, i: Integer;
Begin
    census1 := New SmCensus1.Create;
    // Set values for variables
    s[0] := 670.2000183; s[1] := 576.0680563; s[2] := 717.6484268;
    s[3] := 856.9105808; s[4] := 885.4609516; s[5] := 1011.846431;
    s[6] := 995.4496292; s[7] := 1064.74221; s[8] := 1033.324656;
    s[9] := 780.8584552; s[10] := 657.5033113; s[11] := 654.5472579;
    s[12] := 678.2380139; s[13] := 642.4128544; s[14] := 751.9611194;
    s[15] := 786.7090365; s[16] := 884.5042879; s[17] := 1008.308908;
    s[18] := 1108.363628; s[19] := 1072.737175; s[20] := 1019.183752;
    s[21] := 895.5601672; s[22] := 811.0306101; s[23] := 756.601764;
    s[24] := 826.6160466; s[25] := 762.3903317; s[26] := 931.5707266;
    s[27] := 1026.666524; s[28] := 1114.124119; s[29] := 1099.626392;
    s[30] := 1189.16892; s[31] := 1092.343791; s[32] := 1087.503861;
    s[33] := 971.6522721; s[34] := 826.2502823; s[35] := 789.6322825;
    s[36] := 797.0210578; s[37] := 770.0206; s[38] := 832.1481674;
    s[39] := 1014.565844; s[40] := 980.4343089; s[41] := 1195.843135;
    s[42] := 1117.405835; s[43] := 1142.834834; s[44] := 1239.704489;
    // Determine explained series
    census1.Serie.Value := s;
    // Define parameters of sample period
    census1.ModelPeriod.FirstPoint := 1;
    census1.ModelPeriod.LastPoint := 45;
    // Determine missing data treatment method
    census1.MissingData.Method := MissingDataMethod.LinInterpolation;
    // Determine seasonal component parameters
    census1.SeasonalComponent.Mode := SeasonalityType.Multiplicative;
    // Center moving average
    census1.CenterMovingAverage := True;
    // Determine seasonal component parameters
    census1.SeasonalComponent.Cycle := 12;
    // Execute calculation, display error messages and calculation results
    res := census1.Execute;
    If res <> 0 Then
        Debug.WriteLine(census1.Errors);
        Else
            Debug.WriteLine("== Smoothed series ==");
            Debug.Indent;
            For i := 0 To census1.MovingAverage.Length - 1 Do
                Debug.WriteLine(census1.MovingAverage[i]);
            End For;
            Debug.Unindent;
            Debug.WriteLine("=== Seasonal component ===");
            Debug.Indent;
            For i := 0 To census1.Seasonal.Length - 1 Do
                Debug.WriteLine(census1.Seasonal[i]);
            End For;
            Debug.Unindent;
            Debug.WriteLine("=== Trend-cyclic component ===");
            Debug.Indent;
            For i := 0 To census1.TrendCycle.Length - 1 Do
                Debug.WriteLine(census1.TrendCycle[i]);
            End For;
            Debug.Unindent;
            Debug.WriteLine("=== Seasonal adjustment ===");
            Debug.Indent;
            For i := 0 To census1.SeasonalAdjustment.Length - 1 Do
                Debug.WriteLine(census1.SeasonalAdjustment[i]);
            End For;
            Debug.Unindent;
            Debug.WriteLine("=== Differences ===");
            Debug.Indent;
            For i := 0 To census1.RatioDifferences.Length - 1 Do
                Debug.WriteLine(census1.RatioDifferences[i]);
            End For;
            Debug.Unindent;
            Debug.WriteLine("=== Irregular component ===");
            Debug.Indent;
            For i := 0 To census1.Irregula.Length - 1 Do
                Debug.WriteLine(census1.Irregula[i]);
            End For;
            Debug.Unindent;
    End If;
End Sub UserProc;

After executing the example, the console window displays smoothed series, its seasonal component, its trend-cycle component, seasonal adjustment, differences and irregular component.