PDF of the sum of three continous uniform random variables

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The discussion focuses on deriving the probability density function (PDF) of the sum Z = X1 + X2 + X3, where X1, X2, and X3 are independent uniform random variables on the interval [0, 1]. The initial approach involves using the convolution of PDFs, specifically integrating the joint PDF of two variables and then incorporating the third. Participants suggest starting with the simpler case of Y = X1 + X2 to gain insights before tackling the three-variable case. The importance of understanding convolutions in probability theory is emphasized as a key step in solving the problem. Ultimately, a systematic approach to combining the PDFs is necessary to find the desired result.
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Homework Statement



X1, X2, X3 are three random variable with uniform distribution at [0 1]. Solve the PDF of Z=X1+X2+X3.

Homework Equations


The Attempt at a Solution



PDF of Z, f_z=\int\intf_x1(z-x2-x3)*f_x2*f_x3 dx2 dx3

I saw the answer at http://eom.springer.de/U/u095240.htm, but I cannot figure out how to get there...please help.
 
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start with an easier problem first
Y = X1 & X2

it you're still getting no where, try looking up convolutions
 
lanedance said:
start with an easier problem first
Y = X1 & X2

it you're still getting no where, try looking up convolutions

I know how to solve the case of two variables, but got stunned in the case of three variables...
 
so if you can find the pdf of Y = X1 + X2, then consider Z = Y + X3
 
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