@SuppressWarnings("unchecked") @Override public CumulativeDistributionFunction<Number> getCDF() { return (CumulativeDistributionFunction<Number>) this.getDistribution().getCDF(); }
@SuppressWarnings("unchecked") @Override public CumulativeDistributionFunction<Number> getCDF() { return (CumulativeDistributionFunction<Number>) this.getDistribution().getCDF(); }
@SuppressWarnings("unchecked") @Override public CumulativeDistributionFunction<Number> getCDF() { return (CumulativeDistributionFunction<Number>) this.getDistribution().getCDF(); }
@Override public Double evaluate( UnivariateDistribution<DataType> target) { CumulativeDistributionFunction<DataType> cdf = target.getCDF(); KolmogorovSmirnovConfidence.Statistic kstest = KolmogorovSmirnovConfidence.evaluateNullHypothesis( this.getCostParameters(),cdf); double d = kstest.getD(); return d; }
@Override public Double evaluate( UnivariateDistribution<DataType> target) { CumulativeDistributionFunction<DataType> cdf = target.getCDF(); KolmogorovSmirnovConfidence.Statistic kstest = KolmogorovSmirnovConfidence.evaluateNullHypothesis( this.getCostParameters(),cdf); double d = kstest.getD(); return d; }
@Override public Double evaluate( UnivariateDistribution<DataType> target) { CumulativeDistributionFunction<DataType> cdf = target.getCDF(); KolmogorovSmirnovConfidence.Statistic kstest = KolmogorovSmirnovConfidence.evaluateNullHypothesis( this.getCostParameters(),cdf); double d = kstest.getD(); return d; }
CumulativeDistributionFunction<NumberType> cdf = distribution.getCDF(); final double pvalue = 1.0-confidence; final double pmin = pvalue/2.0;
CumulativeDistributionFunction<NumberType> cdf = distribution.getCDF(); final double pvalue = 1.0-confidence; final double pmin = pvalue/2.0;
CumulativeDistributionFunction<NumberType> cdf = distribution.getCDF(); final double pvalue = 1.0-confidence; final double pmin = pvalue/2.0;