@Test public void testPoissonCdf() { logger.info("PoissonCdf"); int k = 3; double lamda = 5.0; double expResult = 0.26502591533403; double result = DiscreteDistributions.poissonCdf(k, lamda); assertEquals(expResult, result, Constants.DOUBLE_ACCURACY_HIGH); }
public static double poissonCdf(int k, double lamda) { if(k<0 || lamda<0) { throw new IllegalArgumentException("All the parameters must be positive."); } double probabilitySum = 1.0 - ContinuousDistributions.gammaCdf(lamda,k+1); return probabilitySum; }
DiscreteDistributions { public static double poissonCdf(int k, double lamda) { if(k<0 || lamda<0) { throw new IllegalArgumentException("All the parameters must be positive."); } double probabilitySum = 1.0 - ContinuousDistributions.gammaCdf(lamda,k+1); return probabilitySum; } }
DiscreteDistributions { public static double poissonCdf(int k, double lamda) { if(k<0 || lamda<0) { throw new IllegalArgumentException("All the parameters must be positive."); } double probabilitySum = 1.0 - ContinuousDistributions.gammaCdf(lamda,k+1); return probabilitySum; }  }
DiscreteDistributions { public static double poissonCdf(int k, double lamda) { if(k<0 || lamda<0) { throw new IllegalArgumentException("All the parameters must be positive."); } double probabilitySum = 1.0 - ContinuousDistributions.gammaCdf(lamda,k+1); return probabilitySum; }  static double bernoulli(boolean k, double p); static double bernoulliCdf(int k, double p); static double binomial(int k, double p, int n); static double binomialCdf(int k, double p, int n); static double geometric(int k, double p); static double geometricCdf(int k, double p); static double negativeBinomial(int n, int r, double p); static double negativeBinomialCdf(int n, int r, double p); static double uniform(int n); static double uniformCdf(int k, int n); static double hypergeometric(int k, int n, int Kp, int Np); static double hypergeometricCdf(int k, int n, int Kp, int Np); static double poisson(int k, double lamda); static double poissonCdf(int k, double lamda); }
DiscreteDistributions { public static double poissonCdf(int k, double lamda) { if(k<0 || lamda<0) { throw new IllegalArgumentException("All the parameters must be positive."); } double probabilitySum = 1.0 - ContinuousDistributions.gammaCdf(lamda,k+1); return probabilitySum; }  static double bernoulli(boolean k, double p); static double bernoulliCdf(int k, double p); static double binomial(int k, double p, int n); static double binomialCdf(int k, double p, int n); static double geometric(int k, double p); static double geometricCdf(int k, double p); static double negativeBinomial(int n, int r, double p); static double negativeBinomialCdf(int n, int r, double p); static double uniform(int n); static double uniformCdf(int k, int n); static double hypergeometric(int k, int n, int Kp, int Np); static double hypergeometricCdf(int k, int n, int Kp, int Np); static double poisson(int k, double lamda); static double poissonCdf(int k, double lamda);  }