Package: AR 1.1

Abbas Parchami

AR: Another Look at the Acceptance-Rejection Method

In mathematics, 'rejection sampling' is a basic technique used to generate observations from a distribution. It is also commonly called 'the Acceptance-Rejection method' or 'Accept-Reject algorithm' and is a type of Monte Carlo method. 'Acceptance-Rejection method' is based on the observation that to sample a random variable one can perform a uniformly random sampling of the 2D cartesian graph, and keep the samples in the region under the graph of its density function. Package 'AR' is able to generate/simulate random data from a probability density function by Acceptance-Rejection method. Moreover, this package is a useful teaching resource for graphical presentation of Acceptance-Rejection method. From the practical point of view, the user needs to calculate a constant in Acceptance-Rejection method, which package 'AR' is able to compute this constant by optimization tools. Several numerical examples are provided to illustrate the graphical presentation for the Acceptance-Rejection Method.

Authors:Abbas Parchami

AR_1.1.tar.gz
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AR_1.1.tgz(r-4.4-emscripten)AR_1.1.tgz(r-4.3-emscripten)
AR.pdf |AR.html✨
AR/json (API)

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Last updated 6 years agofrom:9df3a55d9f. Checks:OK: 2. Indexed: yes.

Exports:AR.Sim

Dependencies:DISTRIB