Estimates {best linear unbiased estimator} (BLUE) can give smallest variance among estimators.
Error measures {standard error} can be square root of MSE.
SSE, SSR, or SST {sum of squares of differences} {squares of differences sum}.
SSE / (observation number + factor number - 1) {mean square error} (MSE).
Errors or residuals can cause sum {SSE} of squares of differences between observed and predicted responses.
Regression can cause sum {SSR} of squares of differences between observed and mean.
Sum {SST} of squares of differences between predicted and mean makes total: SST = SSE + SSR.
5-Chemistry-Biochemistry-Drug-Activity-Methods
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Date Modified: 2022.0225