Chapter 6: Q.6.51 (page 274)
Derive the distribution of the range of a sample of size from a distribution having density function
Short Answer
Distribution of the range :
Chapter 6: Q.6.51 (page 274)
Derive the distribution of the range of a sample of size from a distribution having density function
Distribution of the range :
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Get started for free6. Let X and Y be continuous random variables with joint density function
where c is a constant.(a) What is the value of c?
(b) Are X and Y independent?
(c) Find
If X and Y are independent random variables both uniformly distributed over , find the joint density function of .
Suppose that W, the amount of moisture in the air on a given day, is a gamma random variable with parameters (t, β). That is, its density is f(w) = βe−βw(βw)t−1/(t), w > 0. Suppose also that given that W = w, the number of accidents during that day—call it N—has a Poisson distribution with mean w. Show that the conditional distribution of W given that N = n is the gamma distribution with parameters (t + n, β + 1)
If X, Y, and Z are independent random variables having identical density functions derive the joint distribution of .
In Problem , calculate the conditional probability mass function of given that
(a) localid="1647528969986"
(b) localid="1647528979412"
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