Question

Let ?1 <?2 <⋯ <?9 the order statistics of 9 independent variables from an exponential variable...

Let ?1 <?2 <⋯ <?9
the order statistics of 9
independent variables from an exponential variable of mean 2.
(1) Determine the pdf of ?2.
(2) Calculate ? (?9 <1).

Homework Answers

Answer #1

Answer:

Given that:

Let ?1 <?2 <⋯ <?9 the order statistics of 9 independent variables from an exponential variable of mean 2.

(1) Determine the pdf of ?2.

pdf of order statistic is given by

(2) Calculate ? (?9 <1).

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
STAT 180 Let X and Y be independent exponential random variables with mean equals to 4....
STAT 180 Let X and Y be independent exponential random variables with mean equals to 4. 1) What is the covariance between XY and X. 2) Let Z = max ( X, Y). Find the Probability Density Function (PDF) of Z. 3) Use the answer in part 2 to compute the E(Z).
Let T1 and T2 be independent exponential random variables with a common mean 2. Find the...
Let T1 and T2 be independent exponential random variables with a common mean 2. Find the MGF and then identify the distribution of T1 + T2
Let X and Y be independent exponential random variables with respective rates ? and ? Is...
Let X and Y be independent exponential random variables with respective rates ? and ? Is max(X, Y ) an exponential random variable?
Suppose A and B are independent exponential random variables with mean 1. Define W = AB/(A...
Suppose A and B are independent exponential random variables with mean 1. Define W = AB/(A +B)^2. Find the PDF for W. Write W in terms of U = A/(A +B).
1. Let ?1 < ?2 < ⋯ < ?8 be the order statistics eight independent observations...
1. Let ?1 < ?2 < ⋯ < ?8 be the order statistics eight independent observations from a continuous-type distribution with 60th percentile ?0.6 = 27.3. [15 points – 7.5 points for each question] a) Determine ?(?7 < ?0.6). b) Find ?(?5 < ?0.6 < ?8)
Let ?1, ?2,…. . , ?? (n random variables iid) as a variable X whose pdf...
Let ?1, ?2,…. . , ?? (n random variables iid) as a variable X whose pdf is given by ??-a-1 for ? ≥1. (a) For ? ≥ 1 calculate ? (??? ≤ ?) = ? (?). Deduce the function density of probabilities of Y = lnX. (b) Determine the maximum likelihood estimator (MLE) of ? and show that he is without biais
Let ? and ? be independent random variables. Random variable ? has mean ?? and variance...
Let ? and ? be independent random variables. Random variable ? has mean ?? and variance ?^2?, and random variable ? has mean ?? and variance ?^2? a) Prove that ?[?⋅?]=??⋅?? Guidance: Start with ?[?⋅?]=ΣΣ??⋅???(?,?)??, and then use the definition of independent random variables. b) Use a) to prove that ???(??+??)=?^2???(?)+?^2???(?). Guidance: Use the formula proved in the class ???(?)=?[?^2]−?^2[?]. c) Let ? =5?+3?. Find the mean and variance of ? in terms of the means and variances of ?...
[8] Let Y1<Y2<...<Yn be the order statistics of n independent observations from U(0, 1). (i) Find...
[8] Let Y1<Y2<...<Yn be the order statistics of n independent observations from U(0, 1). (i) Find the p.d.f. of the r-th order statistics Yr. (ii) Find the mean and variance of Yr.
Let X and Y be independent exponential random variables with respective parameters 2 and 3. a)....
Let X and Y be independent exponential random variables with respective parameters 2 and 3. a). Find the cdf and density of Z = X/Y . b). Compute P(X < Y ). c). Find the cdf and density of W = min{X,Y }.
1) Let the random variables ? be the sum of independent Poisson distributed random variables, i.e.,...
1) Let the random variables ? be the sum of independent Poisson distributed random variables, i.e., ? = ∑ ? (top) ?=1(bottom) ?? , where ?? is Poisson distributed with mean ?? . (a) Find the moment generating function of ?? . (b) Derive the moment generating function of ?. (c) Hence, find the probability mass function of ?. 2)The moment generating function of the random variable X is given by ??(?) = exp{7(?^(?)) − 7} and that of ?...