public FrequencySelecter(int frequency, int iFrequency, int counter, int insuranceIndex, int insuranceCounter)
: base(iFrequency, counter)
{
Frequency = frequency;
if (iFrequency > 1 && frequency > 1)
{
var ajustedIFrequency = (frequency - 1) * iFrequency;
InsuranceSampler = new SystematicCounter(ajustedIFrequency, insuranceIndex, insuranceCounter);
}
}
public FrequencySelecter(int frequency, int iFrequency)
: base(iFrequency)
{
Frequency = frequency;
if (iFrequency > 1 && frequency > 1)
{
var ajustedIFrequency = (frequency - 1) * iFrequency;
InsuranceSampler = new SystematicCounter(ajustedIFrequency, SystematicCounter.CounterType.ON_RANDOM, Rand);
}
}
public SRSSelecter(int frequency,
int iTreeFrequency)
: base(iTreeFrequency)
{
this.Frequency = frequency;
if( base.IsSelectingITrees )
{
InsuranceCounter =
new SystematicCounter(Frequency * base.ITreeFrequency,
SystematicCounter.CounterType.ON_RANDOM, this.Rand);
}
}
public ThreePSelecter(
int kz,
int iTreeFrequency)
: base(iTreeFrequency)
{
KZ = kz;
if (IsSelectingITrees)
{
ajustedKZ = CalcAjustedKZ(kz, iTreeFrequency);
InsuranceSampler =
new SystematicCounter(iTreeFrequency + 1, // ajust i frequency because we were getting slightly too many i samples
SystematicCounter.CounterType.ON_RANDOM, Rand);
}
}
public ThreePSelecter(
int kz,
int iTreeFrequency,
int counter,
int insuranceIndex, int insuranceCounter)
: base(iTreeFrequency, counter)
{
KZ = kz;
if (IsSelectingITrees)
{
ajustedKZ = CalcAjustedKZ(kz, iTreeFrequency);
InsuranceSampler =
new SystematicCounter(iTreeFrequency + 1, // ajust i frequency because we were getting slightly too many i samples
insuranceIndex, insuranceCounter);
}
}
public ThreePSelecter(
int kz,
int maxKPI,
int iTreeFrequency)
: base(iTreeFrequency)
{
this.KZ = kz;
this.MaxKPI = maxKPI;
if (base.IsSelectingITrees)
{
ajustedKZ = CalcAjustedKZ(kz, iTreeFrequency);
InsuranceCounter =
new SystematicCounter(base.ITreeFrequency,
SystematicCounter.CounterType.ON_RANDOM, this.Rand);
}
}
/// <summary>
///
/// </summary>
/// <param name="iTreeFrequency">if the number of items you wish is known
/// use an iTreeFrequency = (populationSize / numberOfSamples) * iTreeFrequency</param>
public ListSelecter(
int populationSize,
int iTreeFrequency)
: base(iTreeFrequency)
{
this.Deck = new List <ListItem>();
this.PopulationSize = populationSize;
if (base.IsSelectingITrees)
{
InsuranceCounter =
new SystematicCounter(base.ITreeFrequency,
SystematicCounter.CounterType.ON_RANDOM, this.Rand);
}
PopulateDeck();
ShuffleDeck();
}
/// <summary>
///
/// </summary>
/// <param name="iTreeFrequency">if the number of items you wish is known
/// use an iTreeFrequency = (populationSize / numberOfSamples) * iTreeFrequency</param>
public ListSelecter(
int populationSize,
int iTreeFrequency)
: base( iTreeFrequency)
{
this.Deck = new List<ListItem>();
this.PopulationSize = populationSize;
if (base.IsSelectingITrees)
{
InsuranceCounter =
new SystematicCounter(base.ITreeFrequency,
SystematicCounter.CounterType.ON_RANDOM, this.Rand);
}
PopulateDeck();
ShuffleDeck();
}
public BlockSelecter(int frequency,
int iTreeFrequency)
: base(iTreeFrequency)
{
this.Frequency = frequency;
if (base.IsSelectingITrees)
{
//create a systematicCounter for insurance trees
//that will select an insurance tree at random
//with the probability of 1 / (frequency * iTreeFrequency)
InsuranceCounter = new SystematicCounter(
(frequency * base.ITreeFrequency),
SystematicCounter.CounterType.ON_RANDOM, base.Rand);
//alternative method where iTree is selected every nth tally
//and frequency is n
//InsuranceCounter = new Utility.SystematicCounter( n , Utility.SystematicCounter.CounterType.ON_RANDOM)
}
this.Block = new BlockState();
Block.initBlock(this);
BlockIndex = 0;
}
