Statistics has algorithms {statistical algorithms}.
best linear unbiased estimation
Estimates can give smallest variances among estimators.
mean square error
SSE / (observation number + factor number - 1).
SSE
Errors or residuals cause sum of squares of differences between observed and predicted responses.
SSR
Regression causes sum of squares of differences between observed and mean.
SST
Sum of squares of differences between predicted and mean makes total: SST = SSE + SSR.
standard error
Standard error is MSE square root.
Mathematical Sciences>Computer Science>Systems>Computer Vision>Algorithms>Statistics
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Date Modified: 2022.0224