Exercise 17.2
The partial (Type III) sums of squares from the analysis of variance, Table 19.2, and the mean square expectations, Table 19.10, have been used to estimate the two components of variance σ2and σ2δ. Compute standard errors for each. (Assume each mean square is distributed as a chi-squared random variable scaled by E(MS)/d.f. so that its variance is 2[E(MS)]2/d.f and that the two mean squares are independent. The estimate of the variance of a chi-squared random variable is obtained by substituting the observed mean square for its expectation.) Compare these estimated standard errors with those given for the PROC MIXED solution, Section 19.4.
Exercise 17.3
Verify that the constructed error mean square for testing HERB effects in the analysis of variance approach is E’ = 166.31 and that its approximate degrees of freedom are f = 14.
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