public override void Calculate(MainWindow mainWindow, MainViewModel mainViewModel)
{
if (InputFieldsIsValid(mainWindow))
{
mainWindow.GetValues(out var a, out var r0, out var m, out var max);
var randomValues = GenerateValues(a, r0, m, max);
mainWindow.GetExpValues(out double lambda);
var expValues = ExponentialDistribution(randomValues, lambda).ToList();
StatisticsHelper.CalculateStatistics(expValues, out double expectedValue,
out double dispersion, out double squareDeviation);
mainWindow.UpdateStatistics(expectedValue, dispersion, squareDeviation);
var model = PlotModelGenerator.GenerateModel(expValues);
mainViewModel.UpdatePlotModel(model);
}
}
public override void Calculate(MainWindow mainWindow, MainViewModel mainViewModel)
{
if (InputFieldsIsValid(mainWindow))
{
mainWindow.GetValues(out var a, out var r0, out var m, out var max);
var randomValues = GenerateValues(a, r0, m, max);
mainWindow.GetTriangleValue(out bool isMin, out double A, out double B);
var triangleValues = TriangleDistribution(randomValues, isMin, A, B).ToList();
StatisticsHelper.CalculateStatistics(triangleValues, out double expectedValue,
out double dispersion, out double squareDeviation);
mainWindow.UpdateStatistics(expectedValue, dispersion, squareDeviation);
var model = PlotModelGenerator.GenerateModel(triangleValues);
mainViewModel.UpdatePlotModel(model);
}
}
public override void Calculate(MainWindow mainWindow, MainViewModel mainViewModel)
{
if (InputFieldsIsValid(mainWindow))
{
mainWindow.GetValues(out var a, out var r0, out var m, out var max);
mainWindow.GetSimpsValues(out double A, out double B);
var randomValues = GenerateValues(a, r0, m, max, A / 2, B / 2);
var simpsonValue = SimpsonDistribution(randomValues).ToList();
StatisticsHelper.CalculateStatistics(simpsonValue, out double expectedValue,
out double dispersion, out double squareDeviation);
mainWindow.UpdateStatistics(expectedValue, dispersion, squareDeviation);
var model = PlotModelGenerator.GenerateModel(simpsonValue);
mainViewModel.UpdatePlotModel(model);
}
}
public override void Calculate(MainWindow mainWindow, MainViewModel mainViewModel)
{
if (InputFieldsIsValid(mainWindow))
{
mainWindow.GetValues(out var a, out var r0, out var m, out var max);
var randomValues = GenerateValues(a, r0, m, max);
mainWindow.GetGaussValues(out double matWait, out double gaussDispersion);
var gaussValues = GaussianDistribution(randomValues, matWait, gaussDispersion);
StatisticsHelper.CalculateStatistics(gaussValues, out double expectedValue,
out double dispersion, out double squareDeviation);
mainWindow.UpdateStatistics(expectedValue, dispersion, squareDeviation);
var model = PlotModelGenerator.GenerateModel(gaussValues);
mainViewModel.UpdatePlotModel(model);
}
}
