the burr distribution has a probability function for a continuous random variable x given by f(x)={(ckxc-1)/(1+xc)k+1 x>o 0 otherwise} show that the E(x) = kB(k+1/c,1/c+1)
beta function:
"B(x,y)=\\intop^1_0t^{x-1}(1-t)^{y-1}dt"
"E(x) =\\int^{\\infin}_0xf(x)dx=\\int^{\\infin}_0x\ufeff\ufeff\\frac{ckx^{\ufeff\ufeff\ufeffc-1}}{(1+x^c)^{k+1}}dx"
let "u=(1+x^c)^{-1}\\implies x=(\\frac{1-u}{u})^{1\/c}"
"du=-cx^{c-1}(1+x^c)^{-2}dx=-cx^{c-1}u^2dx"
then:
"E(x) =k\\int^{0}_1(\\frac{1-u}{u})^{1\/c}u^{k+1}(-u^{-2})du=k\\int^{1}_0u^{(k-1\/c)-1}(u-1)^{(k+1\/c)-1}du="
"=kB(k+1\/c,1\/c+1)"
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