Geometric distribution.
JavaScript
2
0
Apache License 2.0
This package provides functions for working with the geometric distribution, a discrete probability distribution that models the number of failures before the first success in a sequence of independent Bernoulli trials. It includes functions for calculating the probability mass function, cumulative distribution function, and statistical properties like mean, variance, and entropy. This is intended for developers working on statistical analysis, probability calculations, or scientific computing in JavaScript.
Total donated
Undistributed
Share with your subscribers:
Recipients
How the donated funds are distributed
Support the dependencies of stdlib-js/stats-base-dists-geometric
Geometric distribution cumulative distribution function (CDF).
Geometric distribution constructor.
Geometric distribution entropy.
Geometric distribution excess kurtosis.
Geometric distribution logarithm of cumulative distribution function (CDF).
Geometric distribution logarithm of probability mass function (PMF).
Geometric distribution expected value.
Geometric distribution median.
Geometric distribution moment-generating function (MGF).
Geometric distribution mode.
Geometric distribution probability mass function (PMF).
Geometric distribution quantile function.
Geometric distribution skewness.
Geometric distribution standard deviation.
Geometric distribution variance.
Define a read-only property.
Generate a linearly spaced numeric array.
Create a filled array according to a provided callback function.
Float64Array.
Test if an object has a specified property.
Test if a value is a function.
Test if a value is a probability.
Insert array element values and the result of a callback function into a format string and print the result.
Difference between one and the smallest value greater than one that can be represented as a double-precision floating-point number.
Double-precision floating-point negative infinity.
Double-precision floating-point positive infinity.
Test if a double-precision floating-point numeric value is NaN.
Test if a finite double-precision floating-point number is a nonnegative integer.
Test if a double-precision floating-point number is a probability.
Compute the absolute value of a double-precision floating-point number.
Round a double-precision floating-point number toward positive infinity.
Natural exponential function.
Round a double-precision floating-point number toward negative infinity.
Evaluate the natural logarithm of a double-precision floating-point number.
Evaluate the natural logarithm of 1+x.
Binary logarithm (base 2).
Return the maximum value.
Exponential function.
Compute the principal square root of a double-precision floating-point number.
Create an array containing pseudorandom numbers drawn from a discrete uniform distribution.
Create an array containing pseudorandom numbers drawn from a continuous uniform distribution.
Discrete uniform distributed pseudorandom numbers.
Geometric distributed pseudorandom numbers.
Uniformly distributed pseudorandom numbers between 0 and 1.
Uniformly distributed pseudorandom numbers.
Negative binomial distribution.
Calculate the arithmetic mean of a strided array.
Calculate the variance of a strided array.
Insert supplied variable values into a format string.
Constant function.
Support the repos that depend on stdlib-js/stats-base-dists-geometric
Top contributors
stdlib-bot
68 contributions
Recent events
Kivach works on the Obyte network, and therefore you can track all donations.
No events yet