SSJ
V. 2.2.

Deprecated API


Contents
Deprecated Interfaces
umontreal.iro.lecuyer.hups.Randomization
           
 

Deprecated Classes
umontreal.iro.lecuyer.util.ChronoSingleThread
           
umontreal.iro.lecuyer.probdist.ExtremeValueDist
           
umontreal.iro.lecuyer.randvar.ExtremeValueGen
           
umontreal.iro.lecuyer.rng.RandMrg
           
 

Deprecated Fields
umontreal.iro.lecuyer.util.PrintfFormat.LINE_SEPARATOR
           
 

Deprecated Methods
umontreal.iro.lecuyer.hups.RandShiftedPointSet.addRandomShift()
           
umontreal.iro.lecuyer.hups.PointSet.addRandomShift()
           
umontreal.iro.lecuyer.hups.RandShiftedPointSet.addRandomShift(int, int)
           
umontreal.iro.lecuyer.hups.PointSet.addRandomShift(int, int)
           
umontreal.iro.lecuyer.gof.FDist.andersonDarling(int, double)
           
umontreal.iro.lecuyer.gof.FBar.andersonDarling(int, double)
           
umontreal.iro.lecuyer.gof.FDist.cramerVonMises(int, double)
           
umontreal.iro.lecuyer.gof.FBar.cramerVonMises(int, double)
           
umontreal.iro.lecuyer.stat.Tally.formatConfidenceIntervalNormal(double)
           
umontreal.iro.lecuyer.stat.Tally.formatConfidenceIntervalNormal(double, int)
           
umontreal.iro.lecuyer.stat.Tally.formatConfidenceIntervalStudent(double)
           
umontreal.iro.lecuyer.stat.Tally.formatConfidenceIntervalStudent(double, int)
           
umontreal.iro.lecuyer.rng.RandomStreamBase.formatState()
           
umontreal.iro.lecuyer.rng.RandomStreamBase.formatStateFull()
           
umontreal.iro.lecuyer.probdistmulti.DirichletDist.getMaximumLikelihoodEstimate(double[][], int, int)
           
umontreal.iro.lecuyer.probdist.WeibullDist.getMaximumLikelihoodEstimate(double[], int)
           
umontreal.iro.lecuyer.probdist.UniformDist.getMaximumLikelihoodEstimate(double[], int)
           
umontreal.iro.lecuyer.probdist.StudentDist.getMaximumLikelihoodEstimate(double[], int)
           
umontreal.iro.lecuyer.probdist.Pearson6Dist.getMaximumLikelihoodEstimate(double[], int)
           
umontreal.iro.lecuyer.probdist.Pearson5Dist.getMaximumLikelihoodEstimate(double[], int)
           
umontreal.iro.lecuyer.probdist.ParetoDist.getMaximumLikelihoodEstimate(double[], int)
           
umontreal.iro.lecuyer.probdist.NormalDist.getMaximumLikelihoodEstimate(double[], int)
           
umontreal.iro.lecuyer.probdist.LognormalDist.getMaximumLikelihoodEstimate(double[], int)
           
umontreal.iro.lecuyer.probdist.LoglogisticDist.getMaximumLikelihoodEstimate(double[], int)
           
umontreal.iro.lecuyer.probdist.LogisticDist.getMaximumLikelihoodEstimate(double[], int)
           
umontreal.iro.lecuyer.probdist.LaplaceDist.getMaximumLikelihoodEstimate(double[], int)
           
umontreal.iro.lecuyer.probdist.InverseGaussianDist.getMaximumLikelihoodEstimate(double[], int)
           
umontreal.iro.lecuyer.probdist.HyperbolicSecantDist.getMaximumLikelihoodEstimate(double[], int)
           
umontreal.iro.lecuyer.probdist.GammaDist.getMaximumLikelihoodEstimate(double[], int)
           
umontreal.iro.lecuyer.probdist.ExtremeValueDist.getMaximumLikelihoodEstimate(double[], int)
           
umontreal.iro.lecuyer.probdist.ExponentialDist.getMaximumLikelihoodEstimate(double[], int)
           
umontreal.iro.lecuyer.probdist.ErlangDist.getMaximumLikelihoodEstimate(double[], int)
           
umontreal.iro.lecuyer.probdist.ChiSquareDist.getMaximumLikelihoodEstimate(double[], int)
           
umontreal.iro.lecuyer.probdist.ChiDist.getMaximumLikelihoodEstimate(double[], int)
           
umontreal.iro.lecuyer.probdist.CauchyDist.getMaximumLikelihoodEstimate(double[], int)
           
umontreal.iro.lecuyer.probdist.BetaSymmetricalDist.getMaximumLikelihoodEstimate(double[], int)
           
umontreal.iro.lecuyer.probdist.BetaDist.getMaximumLikelihoodEstimate(double[], int)
           
umontreal.iro.lecuyer.probdist.FatigueLifeDist.getMaximumLikelihoodEstimate(double[], int, double)
           
umontreal.iro.lecuyer.probdistmulti.NegativeMultinomialDist.getMaximumLikelihoodEstimate(int[][], int, int)
           
umontreal.iro.lecuyer.probdistmulti.MultinomialDist.getMaximumLikelihoodEstimate(int[][], int, int, int)
           
umontreal.iro.lecuyer.probdist.UniformIntDist.getMaximumLikelihoodEstimate(int[], int)
           
umontreal.iro.lecuyer.probdist.PoissonDist.getMaximumLikelihoodEstimate(int[], int)
           
umontreal.iro.lecuyer.probdist.PascalDist.getMaximumLikelihoodEstimate(int[], int)
           
umontreal.iro.lecuyer.probdist.NegativeBinomialDist.getMaximumLikelihoodEstimate(int[], int)
           
umontreal.iro.lecuyer.probdist.LogarithmicDist.getMaximumLikelihoodEstimate(int[], int)
           
umontreal.iro.lecuyer.probdist.GeometricDist.getMaximumLikelihoodEstimate(int[], int)
           
umontreal.iro.lecuyer.probdist.BinomialDist.getMaximumLikelihoodEstimate(int[], int)
           
umontreal.iro.lecuyer.probdist.NegativeBinomialDist.getMaximumLikelihoodEstimate(int[], int, double)
           
umontreal.iro.lecuyer.probdist.BinomialDist.getMaximumLikelihoodEstimate(int[], int, int)
           
umontreal.iro.lecuyer.probdistmulti.MultiNormalDist.getMaximumLikelihoodEstimateMu(double[][], int, int)
           
umontreal.iro.lecuyer.probdistmulti.MultiNormalDist.getMaximumLikelihoodEstimateSigma(double[][], int, int)
           
umontreal.iro.lecuyer.probdist.LaplaceDist.getPhi()
           
umontreal.iro.lecuyer.probdist.LaplaceDist.getTheta()
           
umontreal.iro.lecuyer.gof.GofFormat.graphFunc(ContinuousDistribution, double, double, int, int, String)
           
umontreal.iro.lecuyer.gof.FDist.kolmogorovSmirnov(int, double)
           
umontreal.iro.lecuyer.gof.FBar.kolmogorovSmirnov(int, double)
           
umontreal.iro.lecuyer.gof.FDist.kolmogorovSmirnovPlus(int, double)
           
umontreal.iro.lecuyer.gof.FBar.kolmogorovSmirnovPlus(int, double)
           
umontreal.iro.lecuyer.util.Num.log1p(double)
           
umontreal.iro.lecuyer.util.Num.multMod(double, double, double, double)
           
umontreal.iro.lecuyer.util.Num.multMod(int, int, int, int)
           
umontreal.iro.lecuyer.util.Num.multMod(long, long, long, long)
           
umontreal.iro.lecuyer.hups.PointSet.randomize()
           
umontreal.iro.lecuyer.hups.PointSet.randomize(int, int)
           
umontreal.iro.lecuyer.stat.Tally.reportAndConfidenceIntervalStudent(double)
           
umontreal.iro.lecuyer.stat.Tally.reportAndConfidenceIntervalStudent(double, int)
           
umontreal.iro.lecuyer.gof.FDist.watsonG(int, double)
           
umontreal.iro.lecuyer.gof.FBar.watsonG(int, double)
           
umontreal.iro.lecuyer.gof.FDist.watsonU(int, double)
           
umontreal.iro.lecuyer.gof.FBar.watsonU(int, double)
           
 

Deprecated Constructors
umontreal.iro.lecuyer.probdist.DiscreteDistribution(int, double[], double[])
           
 


SSJ
V. 2.2.

To submit a bug or ask questions, send an e-mail to Pierre L'Ecuyer.