Question

Suppose that the number of defects on a roll of magnetic recording tape has a Poisson...

Suppose that the number of defects on a roll of magnetic recording tape has a Poisson distribution for which the mean λ is known to be either 1 or 5. Suppose the prior pmf for λ is: P[λ = 1] = 0.4 P[λ = 5] = 0.6 Suppose that we examine five tapes, and find that the number of defects are x1 = 3,x2 = 1,x3 = 4,x4 = 6 and x5 = 2. Show that the posterior distribution for λ is: P[λ = 1|¯ x] = 0.012 P[λ = 5|¯ x] = 0.988

Homework Answers

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
Suppose that the number of defects in a 1200-foot roll of magnetic recording tape has a...
Suppose that the number of defects in a 1200-foot roll of magnetic recording tape has a Poisson distribution for which the value of the mean θ is unknown and that the prior distribution of θ is the gamma distribution with parameters α = 3 and β = 1. When five rolls of this tape are selected at random and inspected, the numbers of defects found on the rolls are 2, 2, 6, 0, and 3. Determine the posterior distribution of...
Suppose that the number of eggs that a hen lays follows the Poisson distribution with parameter...
Suppose that the number of eggs that a hen lays follows the Poisson distribution with parameter λ = 2. Assume further that each of the eggs hatches with probability p = 0.8, and different eggs hatch independently. Let X denote the total number of survivors. (i) What is the distribution of X? (ii) What is the probability that there is an even number of survivors? 1 (iii) Compute the probability mass function of the random variable sin(πX/2) and its expectation.
Suppose that the number of eggs that a hen lays follows the Poisson distribution with parameter...
Suppose that the number of eggs that a hen lays follows the Poisson distribution with parameter λ = 2. Assume further that each of the eggs hatches with probability p = 0.8, and different eggs hatch independently. Let X denote the total number of survivors. (i) What is the distribution of X? (ii) What is the probability that there is an even number of survivors? (iii) Compute the probability mass function of the random variable sin(πX/2) and its expectation.
We write ? ∼ Poisson (?) if ? has the Poisson distribution with rate ? >...
We write ? ∼ Poisson (?) if ? has the Poisson distribution with rate ? > 0, that is, its p.m.f. is ?(?|?) = Poisson(?|?) = ? ^??^x /?! Assume a gamma distribution as the prior for ? where ?(?) = ? ^??(?) ? ^?-1e ^?? ?> 0 Use Bayes Rule to derive the posterior distribution ?(?|?). b. Let’s reconsider the car accidents example introduced in classed. Suppose that (X) the number of car accidents at a fixed point on...
Poisson Distribution: p(x, λ)  =   λx  exp(-λ) /x!  ,  x = 0, 1, 2, ….. Find the moment generating function Mx(t)...
Poisson Distribution: p(x, λ)  =   λx  exp(-λ) /x!  ,  x = 0, 1, 2, ….. Find the moment generating function Mx(t) Find E(X) using the moment generating function 2. If X1 , X2 , X3  are independent and have means 4, 9, and 3, and variencesn3, 7, and 5. Given that Y = 2X1  -  3X2  + 4X3. find the mean of Y variance of  Y. 3. A safety engineer claims that 2 in 12 automobile accidents are due to driver fatigue. Using the formula for Binomial Distribution find the...
Suppose that the number of complaints for a company has a Poisson distribution with mean a)5.3...
Suppose that the number of complaints for a company has a Poisson distribution with mean a)5.3 and b)6 1- Find the mode of this distribution by studying monoticity of y with graphs and explanation 2- Find the variance in the case of P. distr
Suppose a statistician built a multiple regression model for predicting the total number of runs scored...
Suppose a statistician built a multiple regression model for predicting the total number of runs scored by a baseball team during a season. Using data for n=200 ​samples, the results below were obtained. Complete parts a through d. Ind. Var.I β estimate Standard Error Ind. Var.. β estimate Standard Error Intercept 3.75 13.19 Doubles (x3) 0.63 0.03 Walks (x1) 0.23 0.04 Triples (x4) 1.02 0.21 Singles x2 0.42 0.05 Home Runs (x 5) 1.59 0.05 a. Write the least squares...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT