12.6. Extend the contaminated normal and t models with known df to the case of simple linear...

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12.6. Extend the contaminated normal and t models with known df to the case of simple linear regression of X on a fixed covariate Z. Derive EM algorithms for these models. Do cases with Z observed and X missing contribute information to the regressions in these cases? (Hint: review Section 11.4.1.)

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