Which statement is NOT TRUE in describing the similarities and differences between OLS and MLE?...

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Which statement is NOT TRUE in describing the similarities and differences between OLS and MLE?

Select one:

a)

MLE can be used to estimate linear and nonlinear models whereas OLS can only estimate linear models.

b)

OLS is to estimate the parameters by minimizing the sum of squared residuals, whereas MLE is to estimate the parameters by maximizing the log likelihood function given the data.

c)

OLS works well for both small and large samples whereas MLE require a large sample.

d)

We can assume any distribution for the error terms in OLS and MLE.

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