Question

What is/are the outcome of optimizing the likelihood function ?

Answer 1

Answer:

Intuitively, this selects the parameter values that make the observed data most probable. The specific value that maximizes the likelihood function is called the maximum likelihood estimate. Further, if the function so defined is measurable, then it is called the maximum likelihood estimator.

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Answer 2

Explanation:

Intuitively, this selects the parameter values that make the observed data most probable.

• The specific value that maximizes the likelihood function is called the maximum likelihood estimate.

• Further, if the function so defined is measurable, then it is called the maximum likelihood estimator.