Romeo and Juliet have a date at a given time, denote that random variable X and Y is the amount of time where Romeo and Juliet are late respectively. Assume X and Y are independent and exponentially distributed with different parameters λ and μ, respectively. Find the PDF of X – Y.
Given the random variables X and Y. You can think of X and Y as waiting times for two independent events (say U and V respectively) to happen. Suppose we wait until the first of these happens. If it is U, then (by the lack-of-memory property of the exponential distribution) the further waiting time until V happens still has the same exponential distribution as Y; if it is V the further waiting time until U happens still has the same exponential distribution as X. That says that the conditional distribution of X−Y given X>Y is the distribution of X, and the conditional distribution of X−Y given X<Y is the distribution of −Y Since P(X>Y)=λ/(μ+λ), that says the PDF for X−Y is given by
Romeo and Juliet have a date at a given time, denote that random variable X and...
The random variable X is exponentially distributed, where X represents the waiting time to see a shooting star during a meteor shower. If X has an average value of 11 seconds, what are the parameters of the exponential distribution? Select the correct answer below: a. λ=211, μ=11, σ=112 b. λ=112, μ=11, σ=111 c. λ=11, μ=111, σ=111 d. λ=11, μ=11, σ=111 e. λ=111, μ=11, σ=11
Consider an exponentially distributed random variable X with pdf f(x) = 2e−2x for x ≥ 0. Let Y = √X. a. Find the cdf for Y. b. Find the pdf for Y. c. Find E[Y]. If you want to skip a difficult integration by parts, make a substitution and look for a Gamma pdf. d. This Y is actually a commonly used continuous distribution. Can you name it and identify its parameters? e. Suppose that X is exponentially distributed with...
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...
Romeo and Juliet decide to start a new business venture: JR Insurance Ltd. to insure people against damages from car accidents. They assume that car accidents resulting in claims occur according to a nonhomogeneous Poisson process at rate ? ? = 2? per month. As almost any other insurance policy; there is a stochastic delay between the time each accident occurs and the payment is made. These claims not yet paid are said to be “outstanding claims.” Suppose that these...
I. Let Y be an exponentially distributed random variable with parameter λ Compute the cdf and the pdf for the random variable X-e
problem 3 and 4 please.
3. Find the moment generating function of the continuous random variable & such that i f(x) = { 2 sinx, Ox CT, no otherwise. 4. Let X and Y be independent random variables where X is exponentially distributed with parameter value and Y is uniformly distributed over the interval from 0 to 2. Find the PDF of X+Y.
It turns out that the "Pocket Change" data set was taken from a random variable: X that was exponentially distributed with mean μ = 0.50 . In other words, the random variable X is the amount of change in pocket (a) What is the PDF for X ∼ Exp ( 2 ) ?
3. Suppose that X and Y are independent exponentially distributed random variables with parameter λ, and further suppose that U is a uniformly distributed random variable between 0 and 1 that is independent from X and Y. Calculate Pr(X<U< Y) and estimate numerically (based on a visual plot, for example) the value of λ that maximizes this probability.
1. Consider a time T of a call duration. If it rains (under the event T is exponentially distributed with the parameter À-1/6. If it does not rain (under the event F), T is exponentially distributed with the parameter λ 1/2 The percentage of raining time is 0.3 (a) Find the PDF of Tand the expected value ET]. (b) Find the PDF of T given that B [T 6] 2. Random variables X and Yhave the joint PDF otherwise (a)...
X is a random variable exponentially distributed with mean Y, where Y is uniformly distributed on the interval [0,2], Find P(X>2|Y>1) roblems:
X is a random variable exponentially distributed with mean Y, where Y is uniformly distributed on the interval [0,2], Find P(X>2|Y>1) roblems: