Lognormal distribution variance.
Python
2
0
Apache License 2.0
This package calculates the variance of a lognormal distribution, which is a probability distribution where the logarithm of the variable follows a normal distribution. It is part of stdlib, a JavaScript library for numerical and scientific computing, and is intended for developers working on statistical or scientific applications who need to compute lognormal distribution variances.
Total donated
Undistributed
Share with your subscribers:
Recipients
How the donated funds are distributed
Support the dependencies of stdlib-js/stats-base-dists-lognormal-variance
Test if a double-precision floating-point numeric value is NaN.
C APIs for registering a Node-API module exporting an interface for invoking a binary numerical function.
Natural exponential function.
Load a manifest for compiling source files.
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.
Compute the absolute value of a double-precision floating-point number.
Create an array containing pseudorandom numbers drawn from a continuous uniform distribution.
Wrap `require` in a try/catch block.
tap-producing test harness for node and browsers
Yet another JS code coverage tool that computes statement, line, function and branch coverage with module loader hooks to transparently add coverage when running tests. Supports all JS coverage use cases including unit tests, server side functional tests and browser tests. Built for scale
Minimal TAP output formatter.
Benchmark harness.
Support the repos that depend on stdlib-js/stats-base-dists-lognormal-variance
Top contributors
stdlib-bot
74 contributions
Recent events
Kivach works on the Obyte network, and therefore you can track all donations.
No events yet