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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