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May 19, 2023 at 16:22 vote accept user378619
Feb 5, 2023 at 12:00 history tweeted twitter.com/StackStats/status/1622203395405746177
Jan 28, 2023 at 20:38 comment added Alexis Welcome to CV, user378619. In case these are useful resources, see Devroye, L. (1986). Non-Uniform Random Variate Generation. Springer Verlag. (Free pdf from the author!) And perhaps, Knuth's The Art Of Computer Programming Vol.2 Chapter 3 which has a wealth of commonly used approaches to generating random numbers, including from specific distributions.
Jan 28, 2023 at 20:10 history edited user378619 CC BY-SA 4.0
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Jan 28, 2023 at 20:04 history edited user378619 CC BY-SA 4.0
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Jan 28, 2023 at 18:12 comment added whuber Because the non-central chi-squared distribution is a Poisson mixture of central chi-squared distributions, you can easily generate random variables in a two-stage process if you can generate central chi-squared variates.
Jan 28, 2023 at 17:11 history edited utobi
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Jan 28, 2023 at 17:10 answer added utobi timeline score: 7
Jan 28, 2023 at 17:01 comment added utobi rchisq can also deal with non-integer degrees of freedom.
Jan 28, 2023 at 16:58 comment added jbowman @utobi - ... and with noninteger shape (degrees of freedom) parameter.
Jan 28, 2023 at 16:32 comment added utobi Hi! What do you mean by "non-integer dimension"? The function rchisq in R can generate random values from the $\chi^2$ distribution with a real positive non-centrality parameter (option ncp).
S Jan 28, 2023 at 16:21 review First questions
Jan 28, 2023 at 16:28
S Jan 28, 2023 at 16:21 history asked user378619 CC BY-SA 4.0