


2. (2 pts) Suppose X follows a Gamma distribution with parameters a, B, and the following...
STAT 140 Suppose that X have a gamma distribution with parameters a = 2 and θ= 3, and suppose that the conditional distribution of Y given X=x, is uniform between 0 and x. (1) Find E(Y) and Var(Y). (2) Find the Moment Generating Function (MGF) of Y. What is the distribution of Y?
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2. If X has a Gamma distribution with parameters a and B, then its mgf is given by (a) Obtain expressions for the moment-genérating functions of an exponential random variable and of a chi-square random variable by recognizing that these are special cases of a Gamma distribution and using the mgf given above. (b) Suppose that X1 is a Gamma variable with parameters α1 and β, X2 is a Gamma variable with parameters...
Suppose that X1,..., Xn is a random sample from a gamma distribu- tion, The gamma distribution has parameters r and λ, and also has E(X)-r/λ and Var(X)-r/ P. Calculate the method of moments MOM) estimators of r and λ in terms of the first two sample moments Mi and M2
Suppose that X1,..., Xn is a random sample from a gamma distribu- tion, The gamma distribution has parameters r and λ, and also has E(X)-r/λ and Var(X)-r/ P. Calculate the...
Suppose X follows a distribution with density function: f(x)-10.7kz2 031 otherwise (Note: for this question you can enter your answer in decimals as well as fractions) 1. What must the value of k be so that f(x)is a probability density function? Submit Answer Tries 0/3 2. Find the probability P(0.40.8) Submit Answer Tries 0/3 . Find median of the distribution of X Submit Answer Tries 0/3 4. Find E(Xx) Submit Answer Tries 0/3 5. Find Var(x) Submit Answer Tries 0/3...
12.5A e 2 Suppose that A has a Gamma distribution: fA(A) 「3.5)23.5 (a) Suppose that the conditional distribution of X given Λ = λ is fxA(TA z ) e- for x > 0. i. Find Ex ii. Find Var( (b) Suppose that the conditional distribution of X given A = λ is frA (zA)-Xe-k for x > 0. Find the unconditional probability density function fx(x) of *
solve the following questions- 1. Suppose that a random variable X follows gamma distribution with shape parameter α and scale β. Determine the values of α and β given that E(X) = 8 and Var(X) = 32. 2. A commonly used practice of airline companies is to sell more tickets than actual seats to a particular flight because customers who buy tickets do not always show up for the flight. Suppose that the percentage of no shows at flight time...
Please answer both.
. Suppose that Y is a random variable with distribution function below. 1-e-v/2, 0, y > 0; otherwise F(y) = (a) Find the probability density function (pdf) f(y) of Y. yso (b) E(Y) and Var(Y) 5. Suppose X is a random variable with E(X) 5 and Var(X)-2. What is E(X)?
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Suppose a random variable X follows the Rayleigh distribution with probability density function given by f(x) = x/sigma^2 e^, 0 lessthanorequalto x < infinity, 0 < sigma < infinity. The cumulative distribution function is F(x) = 1 - e^, 0 lessthanorequalto x < infinity. The mean and variance of a Rayleigh random variable are. respectively. E(X) = sigma squareroot pi/2 and var(X) = (4 - pi/2) sigma^2. Plot the Rayleigh probability density function...
8. The Gamma(a, A) distribution has density f(x)(a) where for a0' a 0 and A > 0 (a) Showfx,of(x) dr-1. Recall !"(a)-C"rtta-idt. (b) If X has a gamma distribution with parameters α and λ, find a general expression for E(Xk). (Answer: ) (c) Use your answer to the last question to find Var(X). The identity「(α + 1) a「(a) will help.
6.9 Find the method of moments estimators of the parameters, and e, in the gamma bution with the probability density function: 6.10 f(x) = – forro T(0) based on a random sample X. X... X. (Hint: Equate the mean and variance of the gamma distribution, the formulas for which are given in Section 2.8.3. to the correspondine sample quantities and i12 - A, respectively, and solve.) Find the method of moments estimators of the parameters, and in the beta distribution...