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#Com.numericalmethod.suanshu.stats.distribution.univariate Classes and Interfaces - 18 results found.
| Name | Description | Type | Package | Framework |
| BetaDistribution | Class | com.numericalmethod.suanshu.stats.distribution.univariate | SuanShu | |
| BinomialDistribution | The binomial distribution is the discrete probability distribution of the number of successes in a sequence of n independent yes/no experiments, each of which yields success with probability p. | Class | com.numericalmethod.suanshu.stats.distribution.univariate | SuanShu |
| ChiSquareDistribution | The Chi-square distribution is the distribution of the sum of the squares of a set of statistically independent standard Gaussian random variables. | Class | com.numericalmethod.suanshu.stats.distribution.univariate | SuanShu |
| EmpiricalDistribution | An empirical cumulative probability distribution function is a cumulative probability distribution function that | Class | com.numericalmethod.suanshu.stats.distribution.univariate | SuanShu |
| ExponentialDistribution | The exponential distribution describes the times between events in a Poisson process, a process in which events occur continuously and independently at a constant average rate. | Class | com.numericalmethod.suanshu.stats.distribution.univariate | SuanShu |
| FDistribution | The F distribution is the distribution of the ratio of two independent chi-squared variates. | Class | com.numericalmethod.suanshu.stats.distribution.univariate | SuanShu |
| GammaDistribution | This gamma distribution, when k is an integer, is the distribution of the sum of k independent exponentially distributed random variables, | Class | com.numericalmethod.suanshu.stats.distribution.univariate | SuanShu |
| LogNormalDistribution | A log-normal distribution is a probability distribution of a random variable whose logarithm is normally distributed. | Class | com.numericalmethod.suanshu.stats.distribution.univariate | SuanShu |
| NormalDistribution | The Normal distribution has its density a Gaussian function. | Class | com.numericalmethod.suanshu.stats.distribution.univariate | SuanShu |
| NormalOfExpFamily1 | Normal distribution, univariate, unknown mean, known variance. | Class | com.numericalmethod.suanshu.stats.distribution.univariate.exponentialfamily | SuanShu |
| NormalOfExpFamily2 | Normal distribution, univariate, unknown mean, unknown variance. | Class | com.numericalmethod.suanshu.stats.distribution.univariate.exponentialfamily | SuanShu |
| PoissonDistribution | The Poisson distribution (or Poisson law of small numbers) is a discrete probability distribution that expresses the probability of a given number of events occurring in a fixed interval of time | Class | com.numericalmethod.suanshu.stats.distribution.univariate | SuanShu |
| ProbabilityDistribution | A univariate probability distribution completely characterizes a random variable by stipulating the probability of each value of a random variable (when the variable is discrete), or the | Interface | com.numericalmethod.suanshu.stats.distribution.univariate | SuanShu |
| RayleighDistribution | The L2 norm of (x1, x2), where xi's are normal, uncorrelated, equal variance and have the Rayleigh distributions. | Class | com.numericalmethod.suanshu.stats.distribution.univariate | SuanShu |
| TDistribution | The Student t distribution is the probability distribution of t, where t = frac{ar{x} - mu}{s / sqrt N} | Class | com.numericalmethod.suanshu.stats.distribution.univariate | SuanShu |
| TriangularDistribution | Class | com.numericalmethod.suanshu.stats.distribution.univariate | SuanShu | |
| TruncatedNormalDistribution | The truncated Normal distribution is the probability distribution of a normally distributed random variable whose value is either bounded below or above (or both). | Class | com.numericalmethod.suanshu.stats.distribution.univariate | SuanShu |
| WeibullDistribution | The Weibull distribution interpolates between the exponential distribution k = 1 and the Rayleigh distribution (k = 2), | Class | com.numericalmethod.suanshu.stats.distribution.univariate | SuanShu |