public Distributions(Asset asset, WeightRate weightRate, PDFType pdf, InputModel model)
{
yearsOfAdditions = asset.yearsOfAdd;
yearsOfWithdrawls = asset.yearsOfWith;
additions = asset.addPerYear;
this.pdf = pdf;
withdrawls = asset.withperYear;
initialAmount = asset.currAmount;
this.model = model;
this.asset = asset;
percentiles = new List <Percentiles>(9);
switch (pdf)
{
case PDFType.Normal:
weightedRates = weightRate.weightedRatesNormal;
break;
case PDFType.Laplace:
weightedRates = weightRate.weightedRatesLaplace;
break;
case PDFType.T:
weightedRates = weightRate.weightedRatesT;
break;
}
Allpercentiles = new List <Percentiles>(weightedRates.Count);
GetYearlyBreakdown();
CalculateAverageWithdrawls();
Sort();
ConfidenceIntervals();
ProbabilityOfSuccess();
}
private void CalculateWeightRate()
{
Parallel.For(0, amount * 2, element =>
{
weightRates[element] = new WeightRate(assets[element]);
rateTasks.Add(Task.Run(() => { allDistributions.Add(new Distributions(assets[element], weightRates[element], PDFType.Normal, model)); }));
rateTasks.Add(Task.Run(() => { allDistributions.Add(new Distributions(assets[element], weightRates[element], PDFType.Laplace, model)); }));
rateTasks.Add(Task.Run(() => { allDistributions.Add(new Distributions(assets[element], weightRates[element], PDFType.T, model)); }));
});
Task.WaitAll(rateTasks.ToArray());
}