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RE: st: RE: Calculating binomial probability distribution of cumulative outcomes of independent events with differing values and probabilites


From   "Nick Cox" <[email protected]>
To   <[email protected]>
Subject   RE: st: RE: Calculating binomial probability distribution of cumulative outcomes of independent events with differing values and probabilites
Date   Sun, 11 Jan 2009 19:02:21 -0000

What are the scores for the complements of Events 1, 2, 3? 

Nick 
[email protected] 


-----Original Message-----
From: [email protected]
[mailto:[email protected]] On Behalf Of Wally Knox
Sent: 11 January 2009 18:35
To: [email protected]
Subject: Re: st: RE: Calculating binomial probability distribution of
cumulative outcomes of independent events with differing values and
probabilites

Hi Nick etc.

The events are independent so their individual probabilities don't  
total 1.0.

I am told that to obtain the likely outcome of the events to multiply  
their individual probabilities by their individual values and sum the  
results.

So,

Event	Prob	Value	Prob*Value

1		.9		12		1.08
2		.5		2		1.0
3		.2		6		1.2

I am told that the most likely outcome of all three events will be  
1.08 + 1.0 + 1.2 = 3.28.  But I would like to see the full  
distribution of outcomes by their cumulative probabilities.  Can I use  
a monte carlo simulation setting different probabilities and values  
for each event?

Wally


On Jan 11, 2009, at 8:51 AM, Nick Cox wrote:

> I don't get this. Probabilities of .9, .5, .2 don't add to 1.
> Nor does this look like a binomial calculation to me. Nor do obvious
> need Stata for problems like this, which have an analytic solution.
>
> Your problem may be related to that solved below
>
> . set random 1952
> . gen noise = runiform()
> . gen score = cond(noise < .2, 12, cond(noise < .6, 2, 6))
>
> Nick
> [email protected]
>
> Wally Knox
>
> I would like to calculate the probability distribution of the
> cumulative outcomes of independent events each of which has
> a different value and a different probability.  For instance, take
> three events.  Event One has a probability of .9 and would contribute
> 12 to the overall outcome.  Event Two has a probability of .5 and
> would contribute 2 to the overall outcome.  Event Three has a
> probability of .2 and would contribute 6 to the overall outcome.  What
> is a simple way in Stata to perform the calculation of the
> distribution of the overall outcome values?
>

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