Introduction to Probability and Statistics for Engineers and Scientists

(Sean Pound) #1

182 Chapter 5: Special Random Variables


*5.7The Gamma Distribution


A random variable is said to have a gamma distribution with parameters (α,λ),λ>0,
α>0, if its density function is given by


f(x)=




λe−λx(λx)α−^1
(α) x≥^0
0 x< 0

where


(α)=

∫∞

0

λe−λx(λx)α−^1 dx

=

∫∞

0

e−yyα−^1 dy (by lettingy=λx)

The integration by parts formula



udv=uv−


vduyields, withu=yα−^1 ,dv=e−ydy,
v=−e−y, that forα>1,


∫∞

0

e−yyα−^1 dy=−e−yyα−^1

∣∣
∣∣y=∞
y= 0

+

∫∞

0

e−y(α−1)yα−^2 dy

=(α−1)

∫∞

0

e−yyα−^2 dy

or


(α)=(α−1) (α−1) (5.7.1)

Whenαis an integer — say,α=n— we can iterate the foregoing to obtain that


(n)=(n−1) (n−1)
=(n−1)(n−2) (n−2) by letting α=n−1 in Eq. 5.7.1
=(n−1)(n−2)(n−3) (n−3) by lettingα=n−2 in Eq. 5.7.1
..
.
=(n−1)! (1)

Because


(1)=

∫∞

0

e−ydy= 1

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