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; }