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From |
William Bishop <wbishopco@gmail.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: Re: basic monte carlo simulation |

Date |
Sat, 21 Feb 2009 05:40:09 -0800 |

Non-transitive dice would be something like: * die A has sides {2,2,4,4,9,9}, * die B has sides {1,1,6,6,8,8}, and * die C has sides {3,3,5,5,7,7}. A is likely to be higher than B B is likely to be higher than C C is likely to be higher than A On Fri, Feb 20, 2009 at 3:48 PM, Martin Weiss <martin.weiss1@gmx.de> wrote: > <> > > I hope you forgive me for not knowing what "non-transitive" means? My guess > from your example is something like heavily biased? Still, -simulate- is not > yet necessary... > > *********** > clear* > set obs 10000 > g firstdice=cond(runiform()<`=1/6', 1,4) > prop first > *********** > > > HTH > Martin > _______________________ > ----- Original Message ----- From: "William Bishop" <wbishopco@gmail.com> > To: <statalist@hsphsun2.harvard.edu> > Sent: Saturday, February 21, 2009 12:43 AM > Subject: Re: st: Re: basic monte carlo simulation > > >> Thanks Martin. >> >> >> What if the dice were non-transitive? Is that where -simulate- comes >> into play in order to generate the roll outcomes? >> >> Say something like: >> >> Dice 1: 1, 4, 4, 4, 4, 4 >> >> so 4 is 5/6 and 1 is 1/6 >> >> Rick >> >> On Fri, Feb 20, 2009 at 3:17 PM, Martin Weiss <martin.weiss1@gmx.de> >> wrote: >>> >>> <> >>> Normally, one would use -simulate- but this is more easily accomplished >>> as >>> >>> ********* clear* >>> 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 >>> Martin _______________________ >>> ----- Original Message ----- From: "William Bishop" <wbishopco@gmail.com> >>> 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/ >>> >> * >> * 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/ > * * 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/

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

**st: Re: basic monte carlo simulation***From:*"Martin Weiss" <martin.weiss1@gmx.de>

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

**Re: st: Re: basic monte carlo simulation***From:*"Martin Weiss" <martin.weiss1@gmx.de>

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