a. Suppose Y; = B1x; + €;, i = 1, ..., n. In this equation x is non-random, B1 is a parameter (unknown but not random), e ~ not adjust it to be unbiased. N(0, 0), and €1,..., En are independent. Find the MLE of o². Is it unbiased? If
a. Suppose Y; = B1x; + €;, i = 1, ..., n. In this equation x is non-random, B1 is a parameter (unknown but not random), e ~ not adjust it to be unbiased. N(0, 0), and €1,..., En are independent. Find the MLE of o². Is it unbiased? If
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
Part A
![a. Suppose Y; = B1x; + €;, i = 1,...,n. In this equation x is non-random, ß1 is a parameter (unknown
but not random), e ~
not adjust it to be unbiased.
N (0, o), and €1, ..., En are independent. Find the MLE of o². Is it unbiased? If
b. Refer to question (a). Let S2 be the unbiased estimator of o?. Use all the details (distribution theory,
(n-1)S?
independence, moment generating functions) to find the distribution of
c. Use the result from question (b) and also the distribution of 6Bị to construct a t ratio. What are the
degrees of freedom of this t ratio? Note: Bị is the MLE of B1.
- a prediction interval for Y can be constructed for a given new value x0. Note: The
d. Explain how a 1
prediction of Y is given by Yo = B1x0. Also, assume that Yo is not one of the Y1,..., Yn values.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fe25f92a2-1c4d-41a3-af19-0cdf00d27604%2F59cb4898-97be-4640-b00a-ff8a1172b550%2F4c79d7d_processed.png&w=3840&q=75)
Transcribed Image Text:a. Suppose Y; = B1x; + €;, i = 1,...,n. In this equation x is non-random, ß1 is a parameter (unknown
but not random), e ~
not adjust it to be unbiased.
N (0, o), and €1, ..., En are independent. Find the MLE of o². Is it unbiased? If
b. Refer to question (a). Let S2 be the unbiased estimator of o?. Use all the details (distribution theory,
(n-1)S?
independence, moment generating functions) to find the distribution of
c. Use the result from question (b) and also the distribution of 6Bị to construct a t ratio. What are the
degrees of freedom of this t ratio? Note: Bị is the MLE of B1.
- a prediction interval for Y can be constructed for a given new value x0. Note: The
d. Explain how a 1
prediction of Y is given by Yo = B1x0. Also, assume that Yo is not one of the Y1,..., Yn values.
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