Question

A uniform random variable on (0,1), X, has density function f(x) = 1, 0 < x...

A uniform random variable on (0,1), X, has density function f(x) = 1, 0 < x < 1. Let Y = X1 + X2 where X1 and X2 are independent and identically distributed uniform random variables on (0,1).

1) By considering the cumulant generating function of Y , determine the first three cumulants of Y .

Homework Answers

Answer #1

k3 is 1/2-1+1/2=0

So k1=1

K2=1/6

K3=0

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
Let X and Y be independent, identically distributed standard uniform random variables. Compute the probability density...
Let X and Y be independent, identically distributed standard uniform random variables. Compute the probability density function of XY .
Suppose that X1 and X2 are independent continuous random variables with the same probability density function...
Suppose that X1 and X2 are independent continuous random variables with the same probability density function as: f(x) = ( x 2 0 < x < 2, 0 otherwise. Let a new random variable be Y = min(X1, X2,). a) Use distribution function method to find the probability density function of Y, fY (y). b) Compute P(Y > 1).
Suppose that X1 and X2 are independent continuous random variables with the same probability density function...
Suppose that X1 and X2 are independent continuous random variables with the same probability density function as: f(x) = ( x 2 0 < x < 2, 0 otherwise. Let a new random variable be Y = min(X1, X2,). a) Use distribution function method to find the probability density function of Y, fY (y). b) Compute P(Y > 1). c) Compute E(Y )
3. Suppose that a random variable X has the density function f (x) = 2x, 0...
3. Suppose that a random variable X has the density function f (x) = 2x, 0 ≤ x ≤ 1, and that f (x) = 0 for x <0 and x > 1. a) Calculate the distribution function for X, as well as the corresponding E (X) and variance V (X). b) The numbers ​​u1 = 0.0503, u2 = 0.9149, u3 = 0.3103, u4 = 0.1866, u5 = 0.6553 uniformly distributed, independent random numbers on the interval [0, 1]. Calculate,...
Let (X, Y) be a random vector (or a random variable) with joint density f (X,...
Let (X, Y) be a random vector (or a random variable) with joint density f (X, Y) (x, y) = 3 (x + y)1(0,1) (x + y)1(0,1) (x)1(0.1) (y), with 1 (0,1) = indicator function. a) Calculate the marginal density functions of X and Y, respectively. b) Calculate the conditional density functions of X given Y = y, and of Y given X = x. c) Are X and Y independent?
The random variable X is uniformly distributed in the interval [0, α] for some α >...
The random variable X is uniformly distributed in the interval [0, α] for some α > 0. Parameter α is fixed but unknown. In order to estimate α, a random sample X1, X2, . . . , Xn of independent and identically distributed random variables with the same distribution as X is collected, and the maximum value Y = max{X1, X2, ..., Xn} is considered as an estimator of α. (a) Derive the cumulative distribution function of Y . (b)...
Part A The variable X(random variable) has a density function of the following f(x) = {5e-5x...
Part A The variable X(random variable) has a density function of the following f(x) = {5e-5x if 0<= x < infinity and 0 otherwise} Calculate E(ex) Part B Let X be a continuous random variable with probability density function f (x) = {6/x2 if 2<x<3 and 0 otherwise } Find E (ln (X)). .
Let X be a random variable with probability density function f(x) = {3/10x(3-x) if 0<=x<=2 .........{0...
Let X be a random variable with probability density function f(x) = {3/10x(3-x) if 0<=x<=2 .........{0 otherwise a) Find the standard deviation of X to four decimal places. b) Find the mean of X to four decimal places. c) Let y=x2 find the probability density function fy of Y.
Included all steps. Thanks The random variable X is uniformly distributed in the interval [0, α]...
Included all steps. Thanks The random variable X is uniformly distributed in the interval [0, α] for some α > 0. Parameter α is fixed but unknown. In order to estimate α, a random sample X1, X2, . . . , Xn of independent and identically distributed random variables with the same distribution as X is collected, and the maximum value Y = max{X1, X2, ..., Xn} is considered as an estimator of α. (a) Derive the cumulative distribution function...
Let X be a random variable with probability density function f(x) = { λe^(−λx) 0 ≤...
Let X be a random variable with probability density function f(x) = { λe^(−λx) 0 ≤ x < ∞ 0 otherwise } for some λ > 0. a. Compute the cumulative distribution function F(x), where F(x) = Prob(X < x) viewed as a function of x. b. The α-percentile of a random variable is the number mα such that F(mα) = α, where α ∈ (0, 1). Compute the α-percentile of the random variable X. The value of mα will...