# Root-mean-square deviation

Root-mean-square deviation

The root-mean-square deviation (RMSD) or root-mean-square error (RMSE) is a frequently used measure of the differences between values predicted by a model or an estimator and the values actually observed from the thing being modeled or estimated. RMSD is a good measure of accuracy. These individual differences are also called residuals, and the RMSD serves to aggregate them into a single measure of predictive power.

## Formula

The RMSD of an estimator $\hat{\theta}$ with respect to the estimated parameter θ is defined as the square root of the mean square error: $\operatorname{RMSD}(\hat{\theta}) = \sqrt{\operatorname{MSE}(\hat{\theta})} = \sqrt{\operatorname{E}((\hat{\theta}-\theta)^2)}.$

For an unbiased estimator, the RMSD is the square root of the variance, known as the standard error.

In some disciplines, the RMSD is used to compare differences between two things that may vary, neither of which is accepted as the "standard". For example, when measuring the average distance between two oblong objects, expressed as random vectors $\mathbf{\theta}_1 = \begin{bmatrix} x_{1,1} \\ x_{1,2} \\ \vdots \\ x_{1,n} \end{bmatrix} \qquad \mathrm{and} \qquad \mathbf{\theta}_2 = \begin{bmatrix} x_{2,1} \\ x_{2,2} \\ \vdots \\ x_{2,n} \end{bmatrix}.$

The formula becomes: $\operatorname{RMSD}(\mathbf{\theta}_1, \mathbf{\theta}_2) = \sqrt{\operatorname{MSE}(\mathbf{\theta}_1, \mathbf{\theta}_2)} = \sqrt{\operatorname{E}((\mathbf{\theta}_1 - \mathbf{\theta}_2)^2)} = \sqrt{\frac{\sum_{i=1}^n (x_{1,i} - x_{2,i})^2}{n}}.$

## Normalized root-mean-square deviation

The normalized root-mean-square deviation or error (NRMSD or NRMSE) is the RMSD divided by the range of observed values, or: $\mathrm{NRMSD} = \frac{\mathrm{RMSD}}{x_\max -x_\min}$

the value is often expressed as a percentage, where lower values indicate less residual variance.

## CV (RMSD)

The coefficient of variation of the RMSD, CV(RMSD), or more commonly CV(RMSE), is defined as the RMSD normalized to the mean of the observed values: $\mathrm{CV(RMSD)} = \frac {\mathrm{RMSD}}{\bar x}.$

It is the same concept as the coefficient of variation except that RMSD replaces the standard deviation.

## Applications

• In meteorology, to see how effectively a mathematical model predicts the behavior of the atmosphere
• In bioinformatics, the RMSD is the measure of the average distance between the atoms of superimposed proteins.
• In cheminformatics, the RMSD is a measure of the distance between a crystal structure conformation and a docking result.
• In economics, the RMSD is used to determine whether an economic model fits economic indicators.
• In experimental psychology, the RMSD is used to assess how well models of perception explain the abilities of the human senses.
• In GIS, the RMSD is one measure used to assess the accuracy of spatial analysis and remote sensing.
• In hydrogeology, RMSD and NRMSD are used to evaluate the calibration of a groundwater model.
• In imaging science, the RMSD is part of the peak signal-to-noise ratio, a measure used to assess how well a method to reconstruct an image performs relative to the original image.
• In computational neuroscience, the RMSD is used to assess how well a system learns a given model.
• In Protein nuclear magnetic resonance spectroscopy, the RMSD is used as a measure to estimate the quality of the obtained bundle of structures.
• Submissions for the Netflix Prize are judged using the RMSD from the test dataset's undisclosed "true" values.
• In simulation of energy consumption of buildings, the RMSE and CV(RMSE) are used to calibrate models to measured building performance.

Wikimedia Foundation. 2010.

Поможем сделать НИР

### Look at other dictionaries:

• Root mean square deviation — The root mean square deviation (RMSD) ( also root mean square error (RMSE) ) is a frequently used measure of the differences between values predicted by a model or an estimator and the values actually observed from the thing being modeled or… …   Wikipedia

• root-mean-square deviation — noun : standard deviation * * * root mean square deviation «ROOT MEEN SKWAIR», = standard deviation. (Cf. ↑standard deviation) …   Useful english dictionary

• root-mean-square deviation — vidutinis kvadratinis nuokrypis statusas T sritis automatika atitikmenys: angl. root mean square deviation vok. mittlere quadratische Abweichung, f rus. среднеквадратическое отклонение, n pranc. écart moyen quadratique, m …   Automatikos terminų žodynas

• root-mean-square deviation — vidutinis kvadratinis nuokrypis statusas T sritis fizika atitikmenys: angl. root mean square deviation vok. mittlere quadratische Abweichung, f rus. средне квадратичное отклонение, n pranc. écart moyen quadratique, m; écart quadratique moyen, m …   Fizikos terminų žodynas

• Root mean square deviation (bioinformatics) — The root mean square deviation (RMSD) is the measure of the average distance between the backbones of superimposed proteins. In the study of globular protein conformations, one customarily measures the similarity in three dimensional structure by …   Wikipedia

• experimental root-mean-square deviation — eksperimentinis vidutinis kvadratinis nuokrypis statusas T sritis Standartizacija ir metrologija apibrėžtis Apibrėžtį žr. priede. priedas( ai) Grafinis formatas atitikmenys: angl. experimental root mean square deviation vok. mittlere quadratische …   Penkiakalbis aiškinamasis metrologijos terminų žodynas

• Root mean square — In mathematics, the root mean square (abbreviated RMS or rms), also known as the quadratic mean, is a statistical measure of the magnitude of a varying quantity. It is especially useful when variates are positive and negative, e.g., sinusoids.It… …   Wikipedia

• Root mean square fluctuation — The mean square fluctuation (MSF) is a measure of the deviation between the position of particle i and some reference position. MSF=frac{1}{T}sum {t j=1}^{T}(x i(t j) ilde{x} i)^2,where T is the time over which one wants to average, and ilde{x} i …   Wikipedia

• mean square deviation — Mean Mean, a. [OE. mene, OF. meiien, F. moyen, fr. L. medianus that is in the middle, fr. medius; akin to E. mid. See {Mid}.] 1. Occupying a middle position; middle; being about midway between extremes. [1913 Webster] Being of middle age and a… …   The Collaborative International Dictionary of English

• Mean-square error — Mean Mean, a. [OE. mene, OF. meiien, F. moyen, fr. L. medianus that is in the middle, fr. medius; akin to E. mid. See {Mid}.] 1. Occupying a middle position; middle; being about midway between extremes. [1913 Webster] Being of middle age and a… …   The Collaborative International Dictionary of English