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November 08, 2025, 08:16:41 am

Author Topic: How to prove if its a probability Density function  (Read 1480 times)  Share 

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onlyfknhuman

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How to prove if its a probability Density function
« on: November 07, 2008, 08:17:15 am »
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Area = 1

and its continuous right?
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Mao

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Re: How to prove if its a probability Density function
« Reply #1 on: November 07, 2008, 12:26:51 pm »
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yep
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shinny

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Re: How to prove if its a probability Density function
« Reply #2 on: November 07, 2008, 12:35:59 pm »
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In methods, do we have to prove:


And continuous?

Or just the area? Quite tedious to prove the other two at times <_<
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Re: How to prove if its a probability Density function
« Reply #3 on: November 07, 2008, 06:31:23 pm »
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It does not have to be continuous

onlyfknhuman

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Re: How to prove if its a probability Density function
« Reply #4 on: November 07, 2008, 06:32:08 pm »
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how come?
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shinny

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Re: How to prove if its a probability Density function
« Reply #5 on: November 07, 2008, 06:40:20 pm »
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Yeh I was thinking about that after...doesn't need to be continuous does it? Theres plenty of distributions which just cut off. But they have to at least be defined over R yes? (i.e. no 'gaps' in the domain. Everything must be assigned a value, even if it means y=0)
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Re: How to prove if its a probability Density function
« Reply #6 on: November 07, 2008, 06:43:35 pm »
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It does not have to be continuous

I can kind of see your point... however, it has to have a definite area bound by two ends though.

for example, you cannot define a continuous random probability function for (unless, of course, k is infinitesimal.... but lets not go into that)
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onlyfknhuman

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Re: How to prove if its a probability Density function
« Reply #7 on: November 07, 2008, 06:44:55 pm »
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ah fudge i see.
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Pandemonium

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Re: How to prove if its a probability Density function
« Reply #8 on: November 07, 2008, 06:57:52 pm »
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It does not have to be continuous

I can kind of see your point... however, it has to have a definite area bound by two ends though.
PDFs must have definite end points. yo.
for example, you cannot define a continuous random probability function for (unless, of course, k is infinitesimal.... but lets not go into that)