# Thread: Deriving denisty function for a given random variable

1. ## Deriving denisty function for a given random variable

Lets say I have 10 random numbers U(0,1). I have a variable called B that is defined as B=max{U1,U2,...U10}

I want help to prove that the density function of B is given by;

f_B(r) = 10*r^9 where r is in the interval [0,1]

How can I show this?

2. You want to derive the density function of a maximum, where U1, ..., U10 follows an uniform distribution.

$
P(B \leq U_1, \dots, U_{10}) = P(B \leq U_1) \dots P(B \leq U_{10}) = P(B \leq U_1)^{10}
$

and the density function can be obtained by calculating its derivative.

3. the idea is right, but the U's are part of B, not the argument.

$F_B(r)=P(B\le r)=P(U_1\le r, U_2\le r,\cdots , U_{10}\le r)$

using independence...

$=P(U_1\le r)P(U_2\le r)\cdots P(U_{10}\le r)$

$=\left(F_{U_1}(r)\right)^{10}=r^{10}$

Since the cummulative distribution of a U(0,1) is $F_{U_1}(r)=r$ when 0<r<1.

NOW differentiate wrt r, which is a Beta by the way.

4. Originally Posted by stordase39
Lets say I have 10 random numbers U(0,1). I have a variable called B that is defined as B=max{U1,U2,...U10}

I want help to prove that the density function of B is given by;

f_B(r) = 10*r^9 where r is in the interval [0,1]

How can I show this?
Do some research/background reading on Order Statistics.

5. Thank you, matheagle.