Let X be Exponential variable with mean 1/λ. (a) Find E[X|X < c] using a calculation from conditional density of X|X < c. [You can use the fact that: integral from 0 to c of Axe^(−Ax)dx = −ce^(−Ac) + 1/A (1 − e^(−Ac)).] (b) Find another way to calculate E[X|X < c] using the memoryless property
f(x|X < c) = f(x)/P( X < c)
now
hence
0 < x < c
where l =
Let X be Exponential variable with mean 1/λ. (a) Find E[X|X < c] using a calculation...
Need help plz Let X be exponential with parameter λ. a. What are Fx(xXxo) and fr(alX <xo)? b. What is the conditional mean E[XLX <Xo]? 7.6 is exponential with parameter 1, what X What are the density and distribution of Y What are the 7.9 lf θ ~U(0, 2n): a. What are the density and distribution function of Y= cos(θ)? b. What are the mean and variance of Y? th a Matlab one- 7.11 e.g., u For X exponential with...
Let X be an exponential random variable with mean μ=2.0. Define the event A to be FXM(x/Ac) conditional probability distribution function fx /バ(x/ Ac ) , function and conditional density where A denotes the complement of the event A. [15 points] X/A
(c) Let X have an exponential density with parameter λ > 0, Prove the "memoryless" property: P(X > t + s|X > s) = P(X > t) for t>0 and s 0. For example, the probability that the conversation lasts at least t more minutes is the same as the probability of it lasting at least t minutes in the first place.
Let X be exponential random variable with λ = 1. (a) Define Y = √ X. Specify the support of Y and find its density. (b)Define Z = X^2 + 2X. Specify the support of Z and find its density.
1. a) Let X ∼ Exponential(λ). Using Markov’s inequality find an upper bound for P(X ≥ a), where a > 0. Compare the upper bound with the actual value of P(X ≥ a). b) Let X ∼ Exponential(λ). Using Chebyshev’s inequality find an upper bound for P(|X − EX| ≥ b), where b > 0.
3. If X follows an exponential distribution with mean 1/λ. Find the density function of Y, where (b) Y = 1/x.
(1) Let X be exponential random variable with λ = 1. (a) (4 pts) Define Y = √ X. Specify the support of Y and find its density. Show all of your work and computations. (b) (6 pts) Define Z = X^2 + 2X. Specify the support of Z and find its density. Show all of your work and computat
(1) Let X be exponential random variable with λ = 1. (a) (4 pts) Define Y = √ X. Specify the support of Y and find its density. Show all of your work and computations. (b) (6 pts) Define Z = X^2 + 2X. Specify the support of Z and find its density. Show all of your work and computation
(1) Let X be exponential random variable with λ = 1. (b) (6 pts) Define Z = X^2 + 2X. Specify the support of Z and find its density. Show all of your work and computations
Problem The random variable X is exponential with parameter 1. Given the value r of X, the random variable Y is exponential with parameter equal to r (and mean 1/r) Note: Some useful integrals, for λ > 0: ar (a) Find the joint PDF of X and Y (b) Find the marginal PDF of Y (c) Find the conditional PDF of X, given that Y 2. (d) Find the conditional expectation of X, given that Y 2 (e) Find the...