public void BuildIntervalToNDependency(PlotModel plot, DistributionParameter p)
{
LineSeries interval_series = new LineSeries()
{
Title = "Величина интервала " + p.Name
};
LineSeries accurate_interval_series = new LineSeries()
{
Title = "Величина интервала " + p.Name + "(известные параметры)"
};
plot.Title = "Зависимость величины интервала от размера выборки";
plot.Series.Clear();
plot.Series.Add(interval_series);
plot.Series.Add(accurate_interval_series);
foreach (var n in AvaliableN)
{
var xx = _statistics.GenerateVariationArray(n);
var i = p.IntervalEstimation(xx, Alpha);
var ai = p.IntervalEstimation(xx, Alpha, (p is Variance) ? MyStatistics.M : MyStatistics.D);
interval_series.Points.Add(new DataPoint(n, Math.Abs(i.End - i.Start)));
accurate_interval_series.Points.Add(new DataPoint(n, Math.Abs(ai.End - ai.Start)));
}
}
public void UpdateModel(ParameterType paremeter_type)
{
var x = _statistics.GenerateVariationArray(N);
DistributionParameter p = null;
switch (paremeter_type)
{
case ParameterType.ExpectedValue:
ExactParameter = MyStatistics.M;
p = new ExpectedValue();
break;
case ParameterType.Variance:
ExactParameter = MyStatistics.D;
p = new Variance();
break;
}
PointEstimation = p.PointEstimation(x);
IntervalEstimation = p.IntervalEstimation(x, Alpha);
AccurateIntervalEstimation = p.IntervalEstimation(x, Alpha, MyStatistics.D);
BuildIntervalToAlphaDependency(IntervalToAlphaDependencyPlot, p, x);
BuildIntervalToNDependency(IntervalToNDependencyPlot, p);
}
public void BuildIntervalToAlphaDependency(PlotModel plot, DistributionParameter p, double[] x)
{
LineSeries interval_series = new LineSeries()
{
Title = "Величина интервала " + p.Name
};
LineSeries accurate_interval_series = new LineSeries()
{
Title = "Величина интервала " + p.Name + "(известные параметры)"
};
plot.Title = "Зависимость величины интервала от доверительной вероятности";
plot.Series.Clear();
plot.Series.Add(interval_series);
plot.Series.Add(accurate_interval_series);
foreach (var alpha in AvaliableAlpha)
{
var i = p.IntervalEstimation(x, alpha);
var ai = p.IntervalEstimation(x, alpha, (p is Variance) ? MyStatistics.M : MyStatistics.D);
interval_series.Points.Add(new DataPoint(alpha, Math.Abs(i.End - i.Start)));
accurate_interval_series.Points.Add(new DataPoint(alpha, Math.Abs(ai.End - ai.Start)));
}
}
