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)=∫01tx−1(1−t)y−1dtB(x,y)=\intop^1_0t^{x-1}(1-t)^{y-1}dtB(x,y)=∫01tx−1(1−t)y−1dt
E(x)=∫0∞xf(x)dx=∫0∞xckxc−1(1+xc)k+1dxE(x) =\int^{\infin}_0xf(x)dx=\int^{\infin}_0x\frac{ckx^{c-1}}{(1+x^c)^{k+1}}dxE(x)=∫0∞xf(x)dx=∫0∞x(1+xc)k+1ckxc−1dx
let u=(1+xc)−1 ⟹ x=(1−uu)1/cu=(1+x^c)^{-1}\implies x=(\frac{1-u}{u})^{1/c}u=(1+xc)−1⟹x=(u1−u)1/c
du=−cxc−1(1+xc)−2dx=−cxc−1u2dxdu=-cx^{c-1}(1+x^c)^{-2}dx=-cx^{c-1}u^2dxdu=−cxc−1(1+xc)−2dx=−cxc−1u2dx
then:
E(x)=k∫10(1−uu)1/cuk+1(−u−2)du=k∫01u(k−1/c)−1(u−1)(k+1/c)−1du=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=E(x)=k∫10(u1−u)1/cuk+1(−u−2)du=k∫01u(k−1/c)−1(u−1)(k+1/c)−1du=
=kB(k+1/c,1/c+1)=kB(k+1/c,1/c+1)=kB(k+1/c,1/c+1)
Need a fast expert's response?
and get a quick answer at the best price
for any assignment or question with DETAILED EXPLANATIONS!
Comments