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From |
"Martin Weiss" <martin.weiss1@gmx.de> |

To |
<statalist@hsphsun2.harvard.edu> |

Subject |
st: Re: basic monte carlo simulation |

Date |
Sat, 21 Feb 2009 00:17:53 +0100 |

<> Normally, one would use -simulate- but this is more easily accomplished as

set obs 10000 g firstdice=1+int(6*runiform()) g seconddice=1+int(6*runiform()) g sumofdice=firstdice+seconddice *let`s see whether CIs conform to our idea of unbiased dice prop sum ********** where you can edit the obs to the # of replications you want... HTH

To: <statalist@hsphsun2.harvard.edu> Sent: Saturday, February 21, 2009 12:08 AM Subject: st: basic monte carlo simulation

Trying to create a monte carlo simulation for throwing a pair of dice with 6-sides, numbered 1-6 (each side equally likely, thus 1/6). So there are 36 combinations of dice rolls and the sum will always be between 2 (1 and 1) and 12 (6 and 6). With a large number of simulations, we should get the probabilities of: 2: 1/36 = 0.02778 3: 2/36 = 0.05556 4: 3/36 = 0.08333 5: 4/36 = 0.11111 6: 5/36 = 0.13889 7: 6/36 = 0.16667 8: 5/36 = 0.13889 9: 4/36 = 0.11111 10: 3/36 = 0.08333 11: 2/36 = 0.05556 12: 1/36 = 0.02778 * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

* * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**Follow-Ups**:**Re: st: Re: basic monte carlo simulation***From:*William Bishop <wbishopco@gmail.com>

**References**:**st: basic monte carlo simulation***From:*William Bishop <wbishopco@gmail.com>

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