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Q14 Single choice

In statistics, maximum-likelihood estimation (MLE) is a method of estimating the parameters of a statistical model. When applied to a data set and given a statistical model, maximum-likelihood estimation provides estimates for the model's parameters and the normalizing constant usually ignored in MLEs because:

A
The normalizing constant is always very close to 1
B
The normalizing constant only has a small impact on the maximum likelihood
C
The normalizing constant is often zero and can cause division by zero
D
The normalizing constant doesn't impact the maximizing value

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