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| a variable represented by data set |
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| LaTeX Math Inline |
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| body | \{ x_1, \, x_2, \, x_3 , ... x_N \} |
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| discrete set of numerical samples of variable |
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| LaTeX Math Inline |
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| body | \{ \hat x_1, \, \hat x_2, \, \hat x_3 , ... \hat x_N \} |
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| discrete set of predictors for the corresponding samples of variable |
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| Mean Square Deviation (MSD) |
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The RMSD is a square root of Mean Square Deviation (MSD) between the datasets of a given variable and its estimator .
The key benefit of using RMSD instead of MSD is that it is expressed in the same units as the base property () while MSD is expressed in square units of the base property.
The terms RMSD and RMSE and RMSD are used in mathematics and engineering interchangeably.
See also
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