public void ValidateDensity(int shape, double invScale, double x, double pdf)
{
var n = new Erlang(shape, invScale);
AssertHelpers.AlmostEqual(pdf, n.Density(x), 14);
AssertHelpers.AlmostEqual(pdf, Erlang.PDF(shape, invScale, x), 14);
}
private Dictionary <double, double> GetOverlayData(double step, Chart cherte)
{
var min = cherte.Series[0].Points.Min(x => x.XValue);
var max = cherte.Series[0].Points.Max(x => x.XValue);
var overlayData = new Dictionary <double, double>();
Func <int, double, double> g = (tb, x) =>
{
switch (tabControl.SelectedIndex)
{
case 0:
return(1);
case 1:
return(1 / (max - min));
case 2:
return(Triangular.PDF(Convert.ToDouble(tb_tre_max.Text), Convert.ToDouble(tb_tre_min.Text), Convert.ToDouble(tb_tre_moda.Text), x));
case 3:
return(Erlang.PDF(Convert.ToInt32(nUD_erl_kol_norm.Value), 1.0 / Convert.ToDouble(tb_erl_moda.Text), x));
case 4:
return(Poisson.PMF(Convert.ToDouble(tb_puas_lambd.Text), (int)x));
case 5:
return(Normal.PDF(Convert.ToDouble(tb_norm_m.Text), Convert.ToDouble(tb_norm_d.Text), x));
case 6:
return(Exponential.PDF(1.0 / Convert.ToDouble(tb_exp_m.Text), x));
default:
return(double.NaN);
}
};
for (var x = min; x <= max; x += step)
{
overlayData[x] = g(tabControl.SelectedIndex, x);
}
return(overlayData);
}
