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Chapter 15 Mixed Models - Carnegie Mellon University

Chapter 15 Mixed Models - Carnegie Mellon University

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random subject-to-subject e ects as xed e ects, and \wastes" one parameter for each subject in order to estimate his or her personal intercept. A better approach is to just estimate a single variance parameter which represents how spread out the random intercepts are around the common intercept of each group (usually following a Normal ...

  Parameters, Estimates

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