ZHANG Yan wrote:

>Suppose T1,T2...Tn are i.i.d. nonnegative random variable with pdf  f(t).
>For two fixed positive value a and b, I have to compute the following
>probability, could you plz give some suggestins? Thanks.
>
>
>Pr(T1+T2+...Tn < a, T1<b,T2<b...Tn<b) = 
>
P(sum(T_i) < a |  max(T_i) < b)  P{max(T_i) < b}

The latter factor is  F(b)^n,  where  F  is the cdf for the common 
distribution.

For n large enough  (and usually that is not very large), you might be 
able to approximate the first factor using a normal approximation.  Let  
m = E[T_1 | T_1 < b]  and  v = Var(T_1 | T_1 < b).  Then the first 
factor is approximately  Phi((a-n m) / sqrt(n v)),  where  Phi  is the 
cdf for the standard normal.

Or perhaps it is easy somehow to compute the n-fold convolution of the 
conditional distribution?

-- 
Stephen J. Herschkorn                        [EMAIL PROTECTED]

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