A small javascript module for working with normal distributions
Normal distribution quantile function.
Normal distribution probability density function (PDF).
Normal distribution cumulative distribution function (CDF).
Normal distribution skewness.
Normal distribution.
Normal distribution mode.
Normal distribution variance.
Normal distribution median.
Normal distribution constructor.
Normal distribution expected value.
Normal distribution excess kurtosis.
Normal distribution differential entropy.
Normal distribution standard deviation.
Normal distribution moment-generating function (MGF).
Normal distribution probability density function (PDF)
Natural logarithm of the cumulative distribution function (CDF) for a normal distribution.
Normal distribution cumulative distribution function (CDF).
Natural logarithm of the probability density function (PDF) for a normal distribution.
normal distribution pdf, cdf, quantile
Truncated normal distribution probability density function (PDF)
Samples standard normal distribution
Truncated normal distribution.
Normal distribution
A comprehensive Rust library for statistical analysis, providing a wide range of descriptive statsrust, probability distributions, and non-parametric methods.
Statistics calculations and (engineering) probability distributions
OxiCUDA Rand - GPU-accelerated random number generation (cuRAND equivalent)
Normal distribution model allows to create normal distribution from given data.Initial reason to build this was to use it in anomaly detection in discrete numerical data.
Random number generator from a multivariate normal distribution.
Gem gives approximate normal distribution values(pdf and cdf).
Generate random numbers from a Normal/Gaussian distribution
Generates Normally Distributed, Random Numbers
Ruby Stats is a port of the statistics libraries from PHPMath. Probability distributions include binomial, beta, and normal distributions with PDF, CDF and inverse CDF as well as Fisher's Exact Test.
Implementation of normale distribution, binomial distribution
A ruby implementation of the Normal Distribution
Statistics2 is a module that provides normal, Chi-square, t- and F- probability distributions for Ruby. It is a fork/continuation of Shin-ichiro Hara's original code. It provides a native, compiled extension and a pure Ruby implementation.
Detect encoding from BOM and heuristics with confidence scores, convert between encodings, normalize to UTF-8, analyze byte distributions, and handle Windows codepages. Zero dependencies.
random variables for a wide variety of probability distributions such as: Binomial, Beta, Chi-Squared, Normal, Pareto, Poisson, etc.
Queued RPC client and server. Works as normal RPC server, but through queue interface, so allows highly scalable, distributed and asynchronous remote API implementation and fast data processing. It's based on EventMachine and typically on Beanstalk, so it's fast and thread safe.
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