Chapter 6: Q. 6.42 (page 274)
The joint density of X and Y is
Find the conditional distribution of Y, given X = x.
Short Answer
For
For
For
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Chapter 6: Q. 6.42 (page 274)
The joint density of X and Y is
Find the conditional distribution of Y, given X = x.
For
For
For
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If X and Y are independent random variables both uniformly distributed over , find the joint density function of .
Let X1, X2, X3, X4, X5 be independent continuous random variables having a common distribution function F and density function f, and set I = P{X1 < X2 < X3 < X4 < X5}
(a) Show that I does not depend on F. Hint: Write I as a five-dimensional integral and make the change of variables ui = F(xi), i = 1, ... , 5.
(b) Evaluate I.
(c) Give an intuitive explanation for your answer to (b).
Consider two components and three types of shocks. A type 1 shock causes component 1 to fail, a type 2 shock causes component 2 to fail, and a type 3 shock causes both components 1 and 2 to fail. The times until shocks 1, 2, and 3 occur are independent exponential random variables with respective rates λ1, λ2, and λ3. Let Xi denote the time at which component i fails, i = 1, 2. The random variables X1, X2 are said to have a joint bivariate exponential distribution. Find
Let be a set of independent and identically distributed continuous random variables having distribution function F, and let denote their ordered values. If X, independent of the, also has distribution F, determine
(a) ;
(b) ;
(c) .
The joint density function of X and Y is
(a) Are X and Y independent?
(b) Find the density function of X.
(c) Find the density function of Y.
(d) Find the joint distribution function.
(e) Find
(f) Find
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