IStatistics.Kurt

Fore Syntax

Kurt(Values: Array): Double;

Fore.NET Syntax

Kurt(Values: System.Array): double;

Parameters

Values. Data series.

Description

The Kurt method returns data set kurtosis.

Comments

Kurtosis indicates whether a distribution is cusped or smoothed compared to the normal distribution. A positive kurtosis indicates a relative cusped distribution. A negative kurtosis indicates a relative smoothed distribution.

To correctly calculate data series, Values must be non-constant and contain more than three points.

Fore Example

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

Sub UserProc;
Var
    st: Statistics;
    d0: Double;
    y: Array Of Double;
Begin
    y := New Double[10];
    y[00] := 1.6;
    y[01] := 1.7;
    y[02] := 1.8;
    y[03] := 1.9;
    y[04] := 2;
    y[05] := 2.1;
    y[06] := 2.2;
    y[07] := 2.3;
    y[08] := 2.4;
    y[09] := 2.8;
    st := New Statistics.Create;
    d0 := st.kurt(y);
    Debug.WriteLine("Kurtosis: " + d0.ToString);
End Sub UserProc;

After executing the example the console window displays kurtosis.

Fore.NET Example

The requirements and result of the Fore.NET example execution match with those in the Fore example.

Imports Prognoz.Platform.Interop.Stat;
…
Public Shared Sub Main(Params: StartParams);
Var
    st: Statistics;
    d0: Double;
    y: Array Of Double;
Begin
    y := New Double[10];
    y[00] := 1.6;
    y[01] := 1.7;
    y[02] := 1.8;
    y[03] := 1.9;
    y[04] := 2;
    y[05] := 2.1;
    y[06] := 2.2;
    y[07] := 2.3;
    y[08] := 2.4;
    y[09] := 2.8;
    st := New Statistics.Create();
    d0 := st.kurt(y);
    System.Diagnostics.Debug.WriteLine("Kurtosis: " + d0.ToString());
End Sub;