search for: hat_i

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2003 Mar 30
1
simple test of lme, questions on DF corrections
...e can then analytically calculate the maximum-likelihood results for various quantities, getting the standard-looking results that the ML estimate of the within-group random error is sigma^2 = sum(e_ij^2)/N Eq. g.1 and the ML estimate of the between-group random error is: sigma_b^2 = sum(b.hat_i^2)/N_groups Eq. g.2 (where b.hat_i are the fitted estimates of b_i, and e_ij are the residuals after fitting). Note that these formulas are slightly different than the standard unbiased least-squares results, which divide by the number of degrees of freedom corrected for the number of fit p...