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The solutions to selected problems from section 11.2 of math331, fall 2008 course. The problems involve finding the moment generating functions and probability distributions of independent geometric, binomial, and poisson random variables.
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Math331, Fall 2008 Instructor: David Anderson
Homework: pg. 474, #’s 2, 6, 8.
MXi (t) =
pet 1 − qet^
where q = 1 − p, and the above function is only valid if t < − ln(q). Therefore, if X 1 , X 2 ,... , Xn are all independent geometric RVs with parameter p, we may use Theorem 11.3 to find the moment generating function of X 1 + X 2 + · · · + Xn.
MX 1 +···+Xn (t) = MX 1 (t) · · · MXn (t)
=
pet 1 − qet^
pet 1 − qet^
(n times )
pet 1 − qet
)n .
Using Table 3 in the Appendix shows that this is the moment generating function for a negative binomial RV with parameters n and p. The uniqueness Theorem 11.2 then shows that X 1 + · · · + Xn must be a negative binomial RV.
and X + Z is Poisson with parameter λ 1 + λ 3. We have
P (Y = y | X + Y + Z = t) =
P (Y = y, X + Y + Z = t) P (X + Y + Z = t)
P (Y = y, X + Z = t − y) P (X + Y + Z = t) = P (Y = y)P (X + Z = t − y)
P (X + Y + Z = t)
=
e−λ^2 λy 2 y!
e−(λ^1 +λ^3 )(λ 1 + λ 3 )t−y (t − y)!
t! e−(λ^1 +λ^2 +λ^3 )(λ 1 + λ 2 + λ 3 )t
=
λy 2 y!
(λ 1 + λ 3 )t−y (t − y)!
t! (λ 1 + λ 2 + λ 3 )t
=
t y
λy 2 (λ 1 + λ 2 + λ 3 )y
(λ 1 + λ 3 )t−y (λ 1 + λ 2 + λ 3 )t−y
=
t y
λ 2 λ 1 + λ 2 + λ 3
)y ( λ 1 + λ 3 λ 1 + λ 2 + λ 3
)t−y .
Therefore, this is the distribution function for a binomial RV with parameters t and p = λ 2 /(λ 1 + λ 2 + λ 3 ).