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| | nelari.us
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| | In inverse transform sampling, the inverse cumulative distribution function is used to generate random numbers in a given distribution. But why does this work? And how can you use it to generate random numbers in a given distribution by drawing random numbers from any arbitrary distribution?
| | danieltakeshi.github.io
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| | In my STAT 210A class, we frequently have to deal with the minimum of asequence of independent, identically distributed (IID) random variables. Thishappens b...
| | gregorygundersen.com
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| | [AI summary] The blog post derives the expected value of a left-truncated lognormal distribution, explaining the mathematical derivation and validating it with Monte Carlo simulations.
| | theproofangel.wordpress.com
23.1 parsecs away

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| Do you believe that standards of English are declining, and as a result the end of the world is nigh? If you do, or if you are a disciple of Gwynne's Grammar, you might find this post enlightening. As the writer says, English is more flexible & robust than some people think. It can be...