| 31. | Compared with published values, this calculation has a root mean square error of only 3.7 s.
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| 32. | Well-established alternatives are the mean absolute scaled error ( MASE ) and the mean squared error.
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| 33. | These values typically include averages, maxima and minima, root mean square ( RMS ) and frequencies.
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| 34. | This estimator also has a uniformly smaller mean squared error than the corrected sample standard deviation.
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| 35. | This information is the Root Mean Square radius of the molecule ( RMS or Rg ).
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| 36. | Using the standard mean squared value decomposition
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| 37. | When we use the mean squared error as distortion measure, we have ( for amplitude-continuous signals ):
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| 38. | Where, MSE denotes the mean squared error.
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| 39. | Until 9 / 11, it had also been used carelessly to mean square 1, a starting place.
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| 40. | Secondly, the sample variance does not generally minimize mean squared error between sample variance and population variance.
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