Question #271706

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)


1
Expert's answer
2021-11-29T03:44:38-0500

beta function:

B(x,y)=01tx1(1t)y1dtB(x,y)=\intop^1_0t^{x-1}(1-t)^{y-1}dt


E(x)=0xf(x)dx=0xckxc1(1+xc)k+1dxE(x) =\int^{\infin}_0xf(x)dx=\int^{\infin}_0x\frac{ckx^{c-1}}{(1+x^c)^{k+1}}dx


let u=(1+xc)1    x=(1uu)1/cu=(1+x^c)^{-1}\implies x=(\frac{1-u}{u})^{1/c}

du=cxc1(1+xc)2dx=cxc1u2dxdu=-cx^{c-1}(1+x^c)^{-2}dx=-cx^{c-1}u^2dx

then:


E(x)=k10(1uu)1/cuk+1(u2)du=k01u(k1/c)1(u1)(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=


=kB(k+1/c,1/c+1)=kB(k+1/c,1/c+1)



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