/external/apache-commons-math/src/main/java/org/apache/commons/math/distribution/ |
H A D | AbstractDistribution.java | 17 package org.apache.commons.math.distribution; 45 * to this distribution, this method returns P(x0 ≤ X ≤ x1). 53 * @return the probability that a random variable with this distribution
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H A D | ContinuousDistribution.java | 17 package org.apache.commons.math.distribution; 28 * 2.1, all continuous distribution implementations included in commons-math 36 * For this distribution, X, this method returns x such that P(X < x) = p.
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H A D | DiscreteDistribution.java | 17 package org.apache.commons.math.distribution; 28 * to this distribution, this method returns P(X = x). In other words, this 29 * method represents the probability mass function, or PMF for the distribution.
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H A D | Distribution.java | 17 package org.apache.commons.math.distribution; 29 * to this distribution, this method returns P(X ≤ x). In other words, 30 * this method represents the (cumulative) distribution function, or 31 * CDF, for this distribution. 33 * @param x the value at which the distribution function is evaluated. 35 * distribution takes a value less than or equal to <code>x</code> 43 * to this distribution, this method returns P(x0 ≤ X ≤ x1). 47 * @return the probability that a random variable with this distribution
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H A D | HasDensity.java | 18 package org.apache.commons.math.distribution; 23 * <p>Interface that signals that a distribution can compute the probability density function
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H A D | TDistribution.java | 17 package org.apache.commons.math.distribution;
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H A D | BetaDistribution.java | 17 package org.apache.commons.math.distribution;
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H A D | BinomialDistribution.java | 17 package org.apache.commons.math.distribution; 34 * Access the number of trials for this distribution. 40 * Access the probability of success for this distribution. 46 * Change the number of trials for this distribution. 54 * Change the probability of success for this distribution.
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H A D | CauchyDistribution.java | 18 package org.apache.commons.math.distribution; 38 * @return median for this distribution 44 * @return scale parameter for this distribution 50 * @param median for this distribution 58 * @param s scale parameter for this distribution
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H A D | ChiSquaredDistribution.java | 17 package org.apache.commons.math.distribution;
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H A D | ExponentialDistribution.java | 17 package org.apache.commons.math.distribution;
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H A D | FDistribution.java | 17 package org.apache.commons.math.distribution;
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H A D | GammaDistribution.java | 17 package org.apache.commons.math.distribution;
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H A D | HypergeometricDistribution.java | 18 package org.apache.commons.math.distribution;
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H A D | IntegerDistribution.java | 17 package org.apache.commons.math.distribution; 29 * to this distribution, this method returns P(X = x). In other words, this 30 * method represents the probability mass function for the distribution. 39 * to this distribution, this method returns P(X ≤ x). In other words, 40 * this method represents the probability distribution function, or PDF 41 * for the distribution. 44 * @return PDF for this distribution. 51 * For this distribution, X, this method returns P(x0 ≤ X ≤ x1). 62 * For this distribution, X, this method returns the largest x such that
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H A D | NormalDistribution.java | 18 package org.apache.commons.math.distribution; 36 * @return mean for this distribution 41 * @param mean for this distribution 48 * @return standard deviation for this distribution 53 * @param sd standard deviation for this distribution
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H A D | PascalDistribution.java | 17 package org.apache.commons.math.distribution; 20 * The Pascal distribution. The Pascal distribution is a special case of the 21 * Negative Binomial distribution where the number of successes parameter is an 24 * There are various ways to express the probability mass and distribution 25 * functions for the Pascal distribution. The convention employed by the 43 * Access the number of successes for this distribution. 50 * Access the probability of success for this distribution. 57 * Change the number of successes for this distribution. 66 * Change the probability of success for this distribution [all...] |
H A D | PoissonDistribution.java | 17 package org.apache.commons.math.distribution; 28 * Poisson distribution</a></li> 37 * Get the mean for the distribution. 39 * @return the mean for the distribution. 44 * Set the mean for the distribution. 56 * Calculates the Poisson distribution function using a normal approximation. 59 * @return the distribution function value calculated using a normal approximation
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H A D | WeibullDistribution.java | 18 package org.apache.commons.math.distribution; 22 * distribution as defined by
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H A D | ZipfDistribution.java | 18 package org.apache.commons.math.distribution; 35 * Get the number of elements (e.g. corpus size) for the distribution. 42 * Set the number of elements (e.g. corpus size) for the distribution. 54 * Get the exponent characterising the distribution. 61 * Set the exponent characterising the distribution.
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H A D | SaddlePointExpansion.java | 17 package org.apache.commons.math.distribution; 169 * Compute the PMF for a binomial distribution using the saddle point
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H A D | AbstractContinuousDistribution.java | 17 package org.apache.commons.math.distribution; 34 * provided for some of the methods that do not vary from distribution to 35 * distribution. 47 * RandomData instance used to generate samples from the distribution 78 * For this distribution, X, this method returns the critical point x, such 156 * Generates a random value sampled from this distribution. The default 169 * Generates a random sample from the distribution. The default implementation
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H A D | AbstractIntegerDistribution.java | 17 package org.apache.commons.math.distribution; 31 * from distribution to distribution. 42 * RandomData instance used to generate samples from the distribution 56 * to this distribution, this method returns P(X ≤ x). In other words, 57 * this method represents the (cumulative) distribution function, or 58 * CDF, for this distribution. 63 * @param x the value at which the distribution function is evaluated. 65 * distribution takes a value less than or equal to <code>x</code> 75 * to this distribution, thi [all...] |
H A D | BinomialDistributionImpl.java | 17 package org.apache.commons.math.distribution; 45 * Create a binomial distribution with the given number of trials and 58 * Access the number of trials for this distribution. 67 * Access the probability of success for this distribution. 76 * Change the number of trials for this distribution. 89 * Change the number of trials for this distribution. 104 * Change the probability of success for this distribution. 117 * Change the probability of success for this distribution. 158 * For this distribution, X, this method returns P(X ≤ x). 161 * @return PDF for this distribution [all...] |
/external/caliper/examples/src/main/java/examples/ |
H A D | ArraySortBenchmark.java | 33 @Param private Distribution distribution; field in class:ArraySortBenchmark 39 values = distribution.create(length);
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