ABSTRACT
We know from Section 5.7 that χ = = −E v n( ) 12 and χ = = −V v n( ) 2 2( 1)2 .
Thus, = σ
−
χ =
σ
−
χ = σ −
− =
σ
−
V S V n n V n n n( ) ( 1) ( 1) ( ) ( 1) 2( 1) 2
( 1) 2
4 .
7.9 a. If y y y, , n1 2 is a random sample of n observations from a Poisson distribution, then the likelihood function is:
∏ = =
λ
λ
λ
=
L p y p y p y e y e y
e y
e
y ( ) ( ) ( ) ! ! !
