public static double dov_exp(List <double> X, double sum, double x)
{
double D = 0;
double N = sum;
double lamda = 1 / PointMark.Ave(X);
double nk = Quantil.NormalQuantil();
double D_lyam = Math.Pow(lamda, 2) / N;
D = nk * Math.Sqrt(Math.Pow(x, 2) * Math.Exp(-2 * lamda * x) * D_lyam);
return(D);
}
private void експоненціальнийToolStripMenuItem_Click(object sender, EventArgs e)
{
X.Sort();
chart1.Series.Add("exp");
chart1.Series["exp"].Color = Color.Violet;
chart1.Series["exp"].ChartType = System.Windows.Forms.DataVisualization.Charting.SeriesChartType.Line;
chart1.Series["exp"].BorderWidth = 1;
chart1.Series["exp"].BorderColor = Color.Black;
double D = 0;
for (double i = X[0]; i < X.Max(); i += 0.01 * (X.Max() - X.Min()))
{
chart1.Series["exp"].Points.AddXY(i, Restore.fExp(X, i) * step);
}
chart2.Series.Add("exp");
chart2.Series.Add("exp+");
chart2.Series["exp+"].Color = Color.Pink;
chart2.Series["exp+"].ChartType = System.Windows.Forms.DataVisualization.Charting.SeriesChartType.Line;
chart2.Series["exp+"].BorderWidth = 1;
chart2.Series["exp+"].BorderColor = Color.Pink;
chart2.Series.Add("exp-");
chart2.Series["exp-"].Color = Color.Violet;
chart2.Series["exp-"].ChartType = System.Windows.Forms.DataVisualization.Charting.SeriesChartType.Line;
chart2.Series["exp-"].BorderWidth = 1;
chart2.Series["exp-"].BorderColor = Color.Violet;
chart2.Series["exp"].Color = Color.DarkBlue;
chart2.Series["exp"].ChartType = System.Windows.Forms.DataVisualization.Charting.SeriesChartType.Line;
chart2.Series["exp"].BorderWidth = 1;
chart2.Series["exp"].BorderColor = Color.Black;
double lyambda = 1 / PointMark.Ave(X);
double nk = Quantil.NormalQuantil();
double D_lyam = Math.Pow(lyambda, 2) / sum;
for (double i = X[0]; i < X.Max(); i += 0.01 * (X.Max() - X.Min()))
{
D = Math.Pow(i, 2) * Math.Exp(-2 * lyambda * i) * (Math.Pow(lyambda, 2) / sum);
chart2.Series["exp+"].Points.AddXY(i, Restore.FExp(X, i) + Quantil.StudentQuantil(sum, X) * Math.Sqrt(D));
chart2.Series["exp"].Points.AddXY(i, Restore.FExp(X, i));
chart2.Series["exp+"].Points.AddXY(i, Restore.FExp(X, i) - Quantil.StudentQuantil(sum, X) * Math.Sqrt(D));
}
}
public static double HighLimitPirson(double Var_Pirson, double sum, List <double> A)
{
double HLP = Var_Pirson + Math.Abs(Quantil.StudentQuantil(sum, A)) * Mark.sigmaPirson(Var_Pirson, sum);
return(HLP);
}
public static double HighLimitContrExes(double ConterEx, double Ex, double sum, List <double> A)
{
double HLCE = ConterEx + Math.Abs(Quantil.StudentQuantil(sum, A)) * Mark.sigmaContrExes(Ex, sum);
return(HLCE);
}
public static double HighLimitExes(double Exes, double sum, List <double> A)
{
double HLEx = Exes + Math.Abs(Quantil.StudentQuantil(sum, A)) * Mark.sigmaExes(sum);
return(HLEx);
}
public static double HighLimitAssimetric(double Assimetric, double sum, List <double> A)
{
double HLAs = Assimetric + Math.Abs(Quantil.StudentQuantil(sum, A)) * Mark.sigmaAssimetric(sum);
return(HLAs);
}
public static double HighLimitSQRAve(double SQRAve, double sum, List <double> A)
{
double HLSA = SQRAve + Math.Abs(Quantil.StudentQuantil(sum, A)) * Mark.sigmaSQRAve(SQRAve, sum);
return(HLSA);
}
public static double LowLimitAve(double Ave, double SQRAve, double sum, List <double> A)
{
double LLA = Ave - Math.Abs(Quantil.StudentQuantil(sum, A)) * Mark.sigmaAve(SQRAve, sum);
return(LLA);
}