Question

Solve the problems below using the moment-generating-function technique. Make sure to state the distribution and its...

Solve the problems below using the moment-generating-function technique. Make sure to state the distribution and its parameters.

Let X1, . . . , Xn be independent random variables, such that Xi ∼ Poiss(λi), for i = 1, . . . , n. Find the distribution of Y = X1 + · · · + Xn.

Homework Answers

Answer #1

Hi Dear,
I have given my 100% to solve your problem.
So, please help me out by just thumbs up.
Thank you, so much

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Solve the problems below using the moment-generating-function technique. Make sure to state the distribution and its...
Solve the problems below using the moment-generating-function technique. Make sure to state the distribution and its parameters. Let X1, . . . , Xn be independent random variables, such that Xi ∼ N(µi , σ2 i ), for i = 1, . . . , n. Find the distribution of Y = a1X1 + · · · + anXn.
Let ? and ? be two independent random variables with moment generating functions ?x(?) = ?t^2+2t...
Let ? and ? be two independent random variables with moment generating functions ?x(?) = ?t^2+2t and ?Y(?)=?3t^2+t . Determine the moment generating function of ? = ? + 2?. If possible, state the distribution name (and include parameter values) of the distribution of ?.
Poisson Distribution: p(x, λ)  =   λx  exp(-λ) /x!  ,  x = 0, 1, 2, ….. Find the moment generating function Mx(t)...
Poisson Distribution: p(x, λ)  =   λx  exp(-λ) /x!  ,  x = 0, 1, 2, ….. Find the moment generating function Mx(t) Find E(X) using the moment generating function 2. If X1 , X2 , X3  are independent and have means 4, 9, and 3, and variencesn3, 7, and 5. Given that Y = 2X1  -  3X2  + 4X3. find the mean of Y variance of  Y. 3. A safety engineer claims that 2 in 12 automobile accidents are due to driver fatigue. Using the formula for Binomial Distribution find the...
Suppose that the moment generating function of a random variable X is of the form MX...
Suppose that the moment generating function of a random variable X is of the form MX (t) = (0.4e^t + 0.6)8 . What is the moment generating function, MZ(t), of the random variable Z = 2X + 1? (Hint: think of 2X as the sum two independent random variables). Find E[X]. Find E[Z ]. Compute E[X] another way - try to recognize the origin of MX (t) (it is from a well-known distribution)
(i) If a discrete random variable X has a moment generating function MX(t) = (1/2+(e^-t+e^t)/4)^2, all...
(i) If a discrete random variable X has a moment generating function MX(t) = (1/2+(e^-t+e^t)/4)^2, all t Find the probability mass function of X. (ii) Let X and Y be two independent continuous random variables with moment generating functions MX(t)=1/sqrt(1-t) and MY(t)=1/(1-t)^3/2, t<1 Calculate E(X+Y)^2
Let X denote a random variable with probability density function a. FInd the moment generating function...
Let X denote a random variable with probability density function a. FInd the moment generating function of X b If Y = 2^x, find the mean E(Y) c Show that moments E(X ^n) where n=1,4 is given by:
Find the moment generating function of each of the following random variables. Then, use it to...
Find the moment generating function of each of the following random variables. Then, use it to find the mean and variance of the random variable 1. Y, a discrete random variable with P(X = n) = (1-p)p^n, n >= 0, 0 < p < 1. 2. Z, a discrete random variable with P(Z = -1) = 1/5, P(Z = 0) = 2/5 and P(Z = 2) = 2/5.
I've tried to solved using the moment generating function of chi-squared distribution. My answer is equal...
I've tried to solved using the moment generating function of chi-squared distribution. My answer is equal to zero when n tends to infinity . But the book's answer is a normal standard distribution. thanks
Let X denote a random variable that follows a binomial distribution with parameters n=5, p=0.3, and...
Let X denote a random variable that follows a binomial distribution with parameters n=5, p=0.3, and Y denote a random variable that has a Poisson distribution with parameter λ = 6. Additionally, assume that X and Y are independent random variables. Derive the joint probability distribution function for X and Y. Make sure to explain your steps.
The given problems are from Mathematical Statistics. Kindly solve the problems below with detail explanation. Please...
The given problems are from Mathematical Statistics. Kindly solve the problems below with detail explanation. Please do not use short cut terms. Neat and clean writing and explanation will be helpful. The problems are: (1) It is not known what proportion p of the purchases of a certain brand of breakfast cereal are made by women and what proportion are made by men. In a random sample of 70 purchases of this cereal, it was found that 58 were made...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT