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 nelari.us
Using inverse transform sampling to generate random numbers in a given distribution // My thought repository
| | sriku.org
Generating values that fit a probability distribution | Codaholic
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| | gregorygundersen.com
Expectation of the Truncated Lognormal Distribution
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| | chipnetics.com
Pval - PDF and CDF Utility | Chipnetics
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| | Pval is a utility for generating a PDF (probability density function) and CDF (cumulative distribution function) from a data-input file.
| | jmanton.wordpress.com
Some Comments on the Situation of a Random Variable being Measurable with respect to the Sigma-Algebra Generated by Another Random Variable | Jonathan Manton's Blog
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| If $latex Y$ is a $latex \sigma(X)$-measurable random variable then there exists a Borel-measurable function $latex f \colon \mathbb{R} \rightarrow \mathbb{R}$ such that $latex Y = f(X)$. The standard proof of this fact leaves several questions unanswered. This note explains what goes wrong when attempting a "direct" proof. It also explains how the standard proof...