public ExperimentalDataRecord getExperimentalData()
{
double p = 0.9011;
List <double> arr = new List <double> {
488, 495, 494, 496, 546, 498, 508, 483, 477, 500, 487, 507,
497, 523, 503, 493, 508, 502, 493, 505, 524, 509, 508, 493, 511, 518, 522, 503
};
ExperimentalDataRecord data = new ExperimentalDataRecord(p, arr);
return(data);
}
private void button1_Click(object sender, EventArgs e)
{
ExperimentalDataProvider data = new ExperimentalDataProvider();
ExperimentalDataRecord r = data.getExperimentalData();
double pDov = r.getP();
List <double> m = r.getArr();
textBox1.Text = pDov.ToString();
for (int i = 0; i < m.Count; i++)
{
textBox2.Text += m[i].ToString() + "\r\n";
}
List <double> xNew = Statistika.Calculation(data);
for (int i = 0; i < xNew.Count; i++)
{
textBox3.Text += xNew[i].ToString() + "\r\n";
}
List <double> gran = Statistika.Bin(xNew);
for (int i = 0; i < gran.Count; i++)
{
textBox4.Text += gran[i].ToString() + "\r\n";
}
Evaluation ev = Statistika.Probability(gran, xNew);
List <double> mi = ev.getM();
for (int i = 0; i < mi.Count; i++)
{
textBox5.Text += mi[i].ToString() + "\r\n";
}
List <double> Pi = ev.getP();
for (int i = 0; i < Pi.Count; i++)
{
textBox6.Text += Pi[i].ToString() + "\r\n";
}
List <double> pi = ev.getp();
for (int i = 0; i < pi.Count; i++)
{
textBox7.Text += pi[i].ToString() + "\r\n";
}
}
// ExperimentalDataProvider p = new ExperimentalDataProvider();
public static List <double> Calculation(ExperimentalDataProvider data)
{
ExperimentalDataRecord r = data.getExperimentalData();
double pDov = r.getP();
List <double> x = r.getArr();
double z = 1.65;//не забудь реализовать подборку z
List <double> xNew = new List <double>();
// List<double> xNew = x;
//while (xNew.Count != x.Count)
for (int j = 0; j < 4; j++)
{
xNew.Clear();
int n = x.Count;
double xAvg = 0; //среднее массива Х
double sigma = 0; //среднеквадратическое значение х
List <double> xDelta = new List <double>(); //разница м/у значениями х и средним
for (int i = 0; i < n; i++)
{
xAvg += x[i];
}
xAvg = xAvg / n;
for (int i = 0; i < n; i++)
{
xDelta.Add(0);
}
for (int i = 0; i < n; i++)
{
xDelta[i] = x[i] - xAvg;
}
for (int i = 0; i < n; i++)
{
sigma += (x[i] - xAvg) * (x[i] - xAvg);
}
sigma = Math.Sqrt(sigma / (n - 1));
double zs = z * sigma;
for (int i = 0; i < n; i++)
{
if (Math.Abs(xDelta[i]) < zs)
{
xNew.Add(x[i]);
}
}
x.Clear();
for (int i = 0; i < xNew.Count; i++)
{
x.Add(xNew[i]);
}
}
x.Sort();
return(x);
}
