1. A bus company manager is interested in estimating the expected daily expense, 0, which is defined as 0 = 3X+10. Here, A is the expected number of daily customers, and 10 corresponds to daily fixed costs. She assumes that the daily customers X₁,..., Xn are independent and identically distributed Poisson (A) random variables. She observes = 52 from a sample of n = 100 days. (a) (b) (c) (d) Write down the likelihood and log-likelihood functions for 0. Use the log-likelihood from the previous question to prove that the maximum likehood estimator for is = 3X + 10. What is the estimated daily expense? Prove that is unbiased for and find its mean squared error. Prove that is consistent for 0.

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1. A bus company manager is interested in estimating the expected daily expense, 0, which is
defined as 0 = 3X+10. Here, X is the expected number of daily customers, and 10 corresponds
to daily fixed costs. She assumes that the daily customers X₁,..., Xn are independent and
identically distributed Poisson (X) random variables. She observes = 52 from a sample of
n = 100 days.
(a)
(b)
(c)
(d)
Write down the likelihood and log-likelihood functions for 0.
Use the log-likelihood from the previous question to prove that the maximum
likehood estimator for 0 is = 3X + 10. What is the estimated daily expense?
Prove that is unbiased for and find its mean squared error.
Prove that is consistent for 0.
Transcribed Image Text:1. A bus company manager is interested in estimating the expected daily expense, 0, which is defined as 0 = 3X+10. Here, X is the expected number of daily customers, and 10 corresponds to daily fixed costs. She assumes that the daily customers X₁,..., Xn are independent and identically distributed Poisson (X) random variables. She observes = 52 from a sample of n = 100 days. (a) (b) (c) (d) Write down the likelihood and log-likelihood functions for 0. Use the log-likelihood from the previous question to prove that the maximum likehood estimator for 0 is = 3X + 10. What is the estimated daily expense? Prove that is unbiased for and find its mean squared error. Prove that is consistent for 0.
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