Avoiding Mean Square Error Bias in Designed Experiments
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چکیده
The error in a designed experiment, σ2, is the natural variation in the response when one of the experimental combinations is replicated. One important challenge in a designed experiment is obtaining an unbiased estimate of σ2. Too often, experimenters do not realize the impact that data collection and analysis assumptions have on the estimate of σ2. If the estimate is biased, tests of the effects in the analysis will be adversely affected. This article discusses the causes and consequences of bias in the mean square error (MSE) term and provides suggestions for detecting and correcting MSE bias.
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