Ignoring the domain of RV in punif()
Hi Eric, Thank you for your reply. I should say that your justification makes sense to me. However, I am in doubt that CDF defines by the Pr(x <= X) for all X? that is the domain of RV is totally ignored in the definition. It makes a conflict between the formula and the theoretical definition. Please see page 115 in https://books.google.co.uk/books?id=FEE8D1tRl30C&printsec=frontcover&dq=statistical+distribution&hl=en&sa=X&ved=0ahUKEwjp3PGZmJzeAhUQqxoKHV7OBJgQ6AEIKTAA#v=onepage&q=uniform&f=false The Thanks. Hamed.
On Tue, 23 Oct 2018 at 10:21, Eric Berger <ericjberger at gmail.com> wrote:
Hi Hamed,
I disagree with your criticism.
For a random variable X
X: D - - - > R
its CDF F is defined by
F: R - - - > [0,1]
F(z) = Prob(X <= z)
The fact that you wrote a convenient formula for the CDF
F(z) = (z-a)/(b-a) a <= z <= b
in a particular range for z is your decision, and as you noted this
formula will give the wrong value for z outside the interval [a,b].
But the problem lies in your formula, not the definition of the CDF which
would be, in your case:
F(z) = 0 if z <= a
= (z-a)/(b-a) if a <= z <= b
= 1 if 1 <= z
HTH,
Eric
On Tue, Oct 23, 2018 at 12:05 PM Hamed Ha <hamedhaseli at gmail.com> wrote:
Hi All, I recently discovered an interesting issue with the punif() function. Let X~Uiform[a,b] then the CDF is defined by F(x)=(x-a)/(b-a) for (a<= x<= b). The important fact here is the domain of the random variable X. Having said that, R returns CDF for any value in the real domain. I understand that one can justify this by extending the domain of X and assigning zero probabilities to the values outside the domain. However, theoretically, it is not true to return a value for the CDF outside the domain. Then I propose a patch to R function punif() to return an error in this situations. Example:
punif(10^10)
[1] 1
Regards,
Hamed.
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