Statistics Graduate Level Quiz
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LINEAR MODELS AND GLMS
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In a fixed-design linear regression, the errors are independent Laplace random variables with mean zero and common variance. Ordinary least squares is used, while least absolute deviations is also considered because it is the likelihood-based estimator under the Laplace model.
Which statement correctly distinguishes the Gauss–Markov conclusion from likelihood-based optimality?
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