public override SampleResult Sample()
{
var isSample = SystematicCounter.Next();
if (isSample)
{
if (IsSelectingITrees && InsuranceSampler.Next())
{
return(SampleResult.I);
}
else
{
return(SampleResult.M);
}
}
else
{
return(SampleResult.C);
}
}
public SampleResult Sample(int kpi, out int randomNumber)
{
randomNumber = Rand.Next(WorkingKZ);
var isSample = kpi > randomNumber;
if (isSample)
{
if (IsSelectingITrees && InsuranceSampler.Next())
{
return(SampleResult.I);
}
else
{
return(SampleResult.M);
}
}
else
{
return(SampleResult.C);
}
}
public override SampleResult Sample()
{
lock (this)
{
var frequency = Frequency;
var block = Block;
var count = Count;
var index = count % block.Length;
var isInsuranceSample = false;
var isSample = block[index];
if (!isSample && IsSelectingITrees) // if tree IS a sample and we are selecting insureance samples
{
isInsuranceSample = InsuranceSampler.Next();
}
// update count and generate new block if needed
count = count + 1;
if (count == block.Length)
{
Block = GenerateBlock(frequency, Rand);
}
Count = count;
if (isInsuranceSample)
{
return(SampleResult.I);
}
else if (isSample)
{
return(SampleResult.M);
}
else
{
return(SampleResult.C);
}
}
}
public override SampleResult Sample()
{
var isSample = Rand.Next(Frequency) == 0;
Count++;
if (isSample)
{
if (IsSelectingITrees && InsuranceSampler.Next())
{
return(SampleResult.I);
}
else
{
return(SampleResult.M);
}
}
else
{
return(SampleResult.C);
}
}