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root mean-square deviation

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ROOT MEAN SQUARE DEVIATION OF THE READINGS TAKEN UNDER NORMAL CONDITIONS OF USE BY SEVERAL OBSERVERS OF THE SAME CONTINUOUS ( ANALOGUE ) INDICATION OR PRINTING .
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Authorization of the grading methods shall, moreover, be subjected to the root mean square deviation of the errors, measured about zero, being less than 2,5.
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THE ROOT MEAN SQUARE DEVIATION ( STANDARD DEVIATION ) OF THE RESULTS OF SEVERAL WEIGHINGS OBTAINED FOR THE SAME LOAD MAY NOT BE GREATER THAN ONE THIRD OF THE ABSOLUTE VALUE OF THE MAXIMUM PERMISSIBLE ERROR FOR THAT LOAD WITHOUT TAKING INTO CONSIDERATION THE INCREASE IN THE MAXIMUM PERMISSIBLE ERROR ALLOWED IN 4.2.5 .
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In an analogy to standard deviation, taking the square root of MSE yields the root-mean-square error or root-mean-square deviation (RMSE or RMSD), which has the same units as the quantity being estimated; for an unbiased estimator, the RMSE is the square root of the variance, known as the standard error.
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The method with lower standard deviation and root mean square error is the Mexican.
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An example is the mean absolute deviation, which might be considered a more direct measure of average distance, compared to the root mean square distance inherent in the standard deviation.
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‘Noise’ means two times the root mean square of ten standard deviations, each calculated from the zero responses measured at a constant recording frequency of at least 1,0 Hz during a period of 30 seconds.
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A set of statistical indicators (e.g. root mean square error for different confidence intervals, standard deviation) is provided for each of the models.
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The noise, defined as two times the root mean square of ten standard deviations, each calculated from the zero responses measured at a constant recording frequency of at least 1,0 Hz during a period of 30 seconds, shall not exceed 2 % of full scale.
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The noise, defined as two times the root mean square of ten standard deviations, each calculated from the zero responses measured at a constant recording frequency of at least 1,0 Hz during a period of 30 seconds, shall not exceed 2 per cent of the maximum calibrated flow value.
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RMSD - Root Mean Squared Deviations – NumXL Support Desk
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Calculates the root mean squared error (aka root mean squared deviation (RMSD)) function.
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Standard deviation of the mean: square root of the ratio of the estimated variance to the number of values used in the calculation.
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Follow RMSD - Root Mean Squared Deviations Calculates the root mean squared deviations (aka root mean squared error (RMSE)) function.
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For measurements involving percentages as a unit, such as, growth, yield, or ejection fraction, statistical deviations and related descriptive statistics, including the standard deviation and root-mean-square error, the result should be expressed in units of percentage points instead of percentage.
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The standard deviation of the mean is inversely proportional to the square root of the sample size.
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Recall from Chapter 6 that the standard deviation of a Poisson distribution is the square root of the mean.
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The mean, remember, is just N over 2 the standard deviation is the square root of N over 2
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65 sinne gevind in 21 ms. Hulle kom uit baie bronne en word nie nagegaan nie.