Question #219685

Derive the variance of the F distribution.


1
Expert's answer
2021-07-23T09:52:35-0400

Solution:

A random variable x has an F distribution if it can be written as a ratio

X=Y1/n1Y2/n2X=\frac{Y_{1} / n_{1}}{Y_{2}\left/n_{2}\right.}

between a Chi-square random variable Y1 with n1 degrees of freedom and a Chi-square random variable Y2, independent of Y1, with n2 degrees of freedom (where each of the two random variables has been divided by its degrees of freedom).

Definition Let X be a continuous random variable. Let its support be the set of positive real numbers:

RX=[0,)R_{X}=[0, \infty)

Let n1, n2 N\in \mathbb{N} . We say that X has an F distribution with n1 and n2 degrees of freedom if and only if its probability density function is

fX(x)={cxn3/21(1+n1n2x)(n1+n2)/2 if xRX0 if xRXf_{X}(x)= \begin{cases}c x^{n_{3} / 2-1}\left(1+\frac{n_{1}}{n_{2}} x\right)^{-\left(n_{1}+n_{2}\right) / 2} & \text { if } x \in R_{X} \\ 0 & \text { if } x \in R_{X}\end{cases}

where c is a constant:

c=(n1n2)n1/21B(n12,n22)c=\left(\frac{n_{1}}{n_{2}}\right)^{n_{1} / 2} \frac{1}{B\left(\frac{n_{1}}{2}, \frac{n_{2}}{2}\right)}

and B()B(\quad) is the Beta function.

Proof:

E[X2]=x2fX(x)dx=0x2cxn1/21(1+n1n2x)(n1+n2)/2dx=c0xn1/2+1(1+n1n2x)(n1+n2)/2dx=c0(n2n1t)n1/2+1(1+t)(n1+n2)/2n2n1dt (by a change of variable: t=n1n2x)\begin{aligned} & \mathrm{E}\left[X^{2}\right] \\=& \int_{-\infty}^{\infty} x^{2} f_{X}(x) d x \\=& \int_{0}^{\infty} x^{2} c x^{n_{1} / 2-1}\left(1+\frac{n_{1}}{n_{2}} x\right)^{-\left(n_{1}+n_{2}\right) / 2} d x \\=& c \int_{0}^{\infty} x^{n_{1} / 2+1}\left(1+\frac{n_{1}}{n_{2}} x\right)^{-\left(n_{1}+n_{2}\right) / 2} d x \\=& \left.c \int_{0}^{\infty}\left(\frac{n_{2}}{n_{1}} t\right)^{n_{1} / 2+1}(1+t)^{-\left(n_{1}+n_{2}\right) / 2} \frac{n_{2}}{n_{1}} d t \quad \text { (by a change of variable: } t=\frac{n_{1}}{n_{2}} x\right) \end{aligned}

=c(n2n1)n1/2+20tn1/2+1(1+t)n1/2n2dt=c(n2n1)n1/2+20t(n1/2+2)1(1+t)(n1/2+2)(n2/22)dt=c(n2n1)n1/2+2B(n12+2,n222)(integral representation of Beta function)=(n1n2)n/21B(n12,n22)(n2n1)n/2+2B(n12+2,n222)(substituting c )=c\left(\frac{n_{2}}{n_{1}}\right)^{n_{1} / 2+2} \int_{0}^{\infty} t^{n_{1} / 2+1}(1+t)^{-n_{1} / 2-n \sqrt{2}} d t \\=c\left(\frac{n_{2}}{n_{1}}\right)^{n_{1} / 2+2} \int_{0}^{\infty} t^{\left(n_{1} / 2+2\right)-1}(1+t)^{-\left(n_{1} / 2+2\right)-\left(n_{2} / 2-2\right)} d t \\=c\left(\frac{n_{2}}{n_{1}}\right)^{n_{1} / 2+2} B\left(\frac{n_{1}}{2}+2, \frac{n_{2}}{2}-2\right) \quad \text{(integral representation of Beta function)} \\=\left(\frac{n_{1}}{n_{2}}\right)^{n / 2} \frac{1}{B\left(\frac{n_{1}}{2}, \frac{n_{2}}{2}\right)}\left(\frac{n_{2}}{n_{1}}\right)^{n / 2+2} B\left(\frac{n_{1}}{2}+2, \frac{n_{2}}{2}-2\right) \text{(substituting c )}

=(n2n1)21B(n12,n22)B(n12+2,n222)=(n2n1)2Γ(n1/2+n2/2)Γ(n1/2)Γ(n2/2)Γ(n1/2+2)Γ(n2/22)Γ(n1/2+2+n2/22)(definition of Beta function)=(n2n1)2Γ(n1/2+n2/2)Γ(n1/2)Γ(n2/2)Γ(n1/2+2)Γ(n2/22)Γ(n1/2+n2/2)=\left(\frac{n_{2}}{n_{1}}\right)^{2} \frac{1}{B\left(\frac{n_{1}}{2}, \frac{n_{2}}{2}\right)} B\left(\frac{n_{1}}{2}+2, \frac{n_{2}}{2}-2\right) \\=\left(\frac{n_{2}}{n_{1}}\right)^{2} \frac{\Gamma\left(n_{1} / 2+n_{2} / 2\right)}{\Gamma\left(n_{1} / 2\right) \Gamma\left(n_{2} / 2\right)} \frac{\Gamma\left(n_{1} / 2+2\right) \Gamma\left(n_{2} / 2-2\right)}{\Gamma\left(n_{1} / 2+2+n_{2} / 2-2\right)} \text{(definition of Beta function)} \\=\left(\frac{n_{2}}{n_{1}}\right)^{2} \frac{\Gamma\left(n_{1} / 2+n_{2} / 2\right)}{\Gamma\left(n_{1} / 2\right) \Gamma\left(n_{2} / 2\right)} \frac{\Gamma\left(n_{1} / 2+2\right) \Gamma\left(n_{2} / 2-2\right)}{\Gamma\left(n_{1} / 2+n_{2} / 2\right)}

=(n2n1)2Γ(n1/2+2)Γ(n1/2)Γ(n2/22)Γ(n2/2)=(n2n1)2(n1/2+1)(n1/2)1(n2/21)(n2/22)(Γ(z)=Γ(z1)(z1))=n22(n1+2)n1n12(n22)(n24)=n22(n1+2)n1(n22)(n24)E[X]2=(n2n22)2Var[X]=E[X2]E[X]2=\left(\frac{n_{2}}{n_{1}}\right)^{2} \frac{\Gamma\left(n_{1} / 2+2\right)}{\Gamma\left(n_{1} / 2\right)} \frac{\Gamma\left(n_{2} / 2-2\right)}{\Gamma\left(n_{2} / 2\right)} \\=\left(\frac{n_{2}}{n_{1}}\right)^{2}\left(n_{1} / 2+1\right)\left(n_{1} / 2\right) \frac{1}{\left(n_{2} / 2-1\right)\left(n_{2} / 2-2\right)} \quad (\because \left.\Gamma(z)=\Gamma(z-1)(z-1)\right) \\=\frac{n_{2}^{2}\left(n_{1}+2\right) n_{1}}{n_{1}^{2}\left(n_{2}-2\right)\left(n_{2}-4\right)} \\=\frac{n_{2}^{2}\left(n_{1}+2\right)}{n_{1}\left(n_{2}-2\right)\left(n_{2}-4\right)} \mathrm{E}[X]^{2}\\=\left(\frac{n_{2}}{n_{2}-2}\right)^{2} \\\operatorname{Var}[X]=\mathrm{E}\left[X^{2}\right]-\mathrm{E}[X]^{2}

=n22(n1+2)n1(n22)(n24)n22(n22)2=n22((n1+2)(n22)n1(n24))n1(n22)2(n24)=n22(n1n22n1+2n24n1n2+4n1)n1(n22)2(n24)=n22(2n1+2n24)n1(n22)2(n24)=2n22(n1+n22)n1(n22)2(n24)=\frac{n_{2}^{2}\left(n_{1}+2\right)}{n_{1}\left(n_{2}-2\right)\left(n_{2}-4\right)}-\frac{n_{2}^{2}}{\left(n_{2}-2\right)^{2}} \\=\frac{n_{2}^{2}\left(\left(n_{1}+2\right)\left(n_{2}-2\right)-n_{1}\left(n_{2}-4\right)\right)}{n_{1}\left(n_{2}-2\right)^{2}\left(n_{2}-4\right)} \\=\frac{n_{2}^{2}\left(n_{1} n_{2}-2 n_{1}+2 n_{2}-4-n_{1} n_{2}+4 n_{1}\right)}{n_{1}\left(n_{2}-2\right)^{2}\left(n_{2}-4\right)} \\=\frac{n_{2}^{2}\left(2 n_{1}+2 n_{2}-4\right)}{n_{1}\left(n_{2}-2\right)^{2}\left(n_{2}-4\right)}=\frac{2 n_{2}^{2}\left(n_{1}+n_{2}-2\right)}{n_{1}\left(n_{2}-2\right)^{2}\left(n_{2}-4\right)}


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