Timeline for Random Effect Model
Current License: CC BY-SA 3.0
4 events
| when toggle format | what | by | license | comment | |
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| Aug 30, 2014 at 13:55 | comment | added | Michael M | A random effect is not the contrary of a fixed effect, so I do not really understand these follow-up questions. Maybe to (1): The centering is automatically done by adding the fixed intercept $\mu$. To (2): A fixed subject effect ($\mu_i$, say) is a parameter that can be estimated and inferred from the data (as long as there are multiple measurements per subject). | |
| Aug 30, 2014 at 13:26 | comment | added | user 31466 |
(2) Doesn't each individual have one single (unobserved) effect also in Fixedeffect model? If so how can we test $H_0:\tau_i=0$?
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| Aug 30, 2014 at 13:23 | comment | added | user 31466 | (1)Don't responses come from different individuals independent in fixed effect model ? If so then why the assumption is $\sum_{i=1}^{a}\tau_i=0$. Doesn't it imply $\tau_i$ are dependent? | |
| Aug 30, 2014 at 9:58 | history | answered | Michael M | CC BY-SA 3.0 |