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Match the following 1. Maximum Likelihood Estimator 2. Likelihood function 3. Es

ID: 3053712 • Letter: M

Question

Match the following

1. Maximum Likelihood Estimator

2. Likelihood function

3. Estimate

4. Sampling distribution of an estimator

5. Estimator

A. A function of a random sample onlu, not of the parameter

B. The Value of an estimator for a particular random sample

C. A probability distribution that tells us the probability that the estimator takes particular values

D. Cramer Rao Lower Bound

E. Joint distribution of the random sample seen as a function of the parameter

F. Value of the parameter of the probability model that is most likely to have generated the observed random sample

Explanation / Answer


1=F
2=E
3=B
4=C
5=A
following in detail

1. Maximum Likelihood Estimator=F. Value of the parameter of the probability model that is most likely to have generated the observed random sample

2. Likelihood function=E. Joint distribution of the random sample seen as a function of the parameter

3. Estimate=B. The Value of an estimator for a particular random sample

4. Sampling distribution of an estimator=C. A probability distribution that tells us the probability that the estimator takes particular values

5. Estimator=A. A function of a random sample onlu, not of the parameter

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