Root mean square deviation

1176 % Incorrectly Classified Instances 3 5.8824 % Kappa statistic 0.9113 Mean absolute error 0.0447 Root mean squared error 0.1722 Relative absolute error 10.0365 % Root relative squared error 36.4196 % Coverage of cases (0.95 level) 98.0392 % Mean rel. region size (0.95 level) 37.2549 % Total Number of Instances 51 === Detailed Accuracy By Class

de la fonction de coût. Le coût d’une erreur de prévision n’est pas nécessairement symétrique, ce que le critère des moindres carrés ou “mean square error” (MSE) (bien pratique en régression multiple) implique. Son rôle tend à diminuer. Les praticiens jugent souvent de la performance d’une méthode par le critère de l'erreur absolue moyenne en pourcentage ("mean absolute percentage error") ou MAPE. 2.2 Les méthodes déterministes A défaut de variable explicative, les modèles déterministes où la variable

de la fonction de coût. Le coût d’une erreur de prévision n’est pas nécessairement symétrique, ce que le critère des moindres carrés ou “mean square error” (MSE) (bien pratique en régression multiple) implique. Son rôle tend à diminuer. Les praticiens jugent souvent de la performance d’une méthode par le critère de l'erreur absolue moyenne en pourcentage ("mean absolute percentage error") ou MAPE. 2.2 Les méthodes déterministes A défaut de variable explicative, les modèles déterministes où la

associated with univariate analysis: |Measures of Location | |Mode |Mean |Median | | | |

the mass of the sample. 2.1.14 Matrix All components of the test sample excluding the analyte. 2.3 Parameters 2.3.1 Standard deviation (s) A measure of the spread in the observed values as a result of random errors (2.3.12). These observed values all have the same expected value. The equation to be used is in which xi = individual measured value, 2 = mean measured value, n = number of measurements. Equation (1) applies to the calculation of s, (2.3.7),sR, (2.3.8) and sR (2.3.9) under the

itself. The strengths of the method are that all past data has been fully incorporated in the risk calculation without the forced assumption of a normal distribution and that no variance/covariance matrix is needed to calculate the portfolio standard deviation. This avoids the risk of a changing matrix over time which is the weakness of the Parametric VaR. In theory this method would be better than Parametric VaR if you had enough data to fully represent all of the crisis events and changing business cycles

the foreign currency. In logarithmic form this becomes: st = pt − pt* (2) and hence the real exchange rate measuring deviations from PPP is: qt ≡ st − pt + pt* (3) An empirical test of PPP gives equation (4): st = qt + β1 pt − β 2 pt* + µt (4) where µt is a zero mean stochastic error term representing the deviations of the real exchange rate around its mean, and β1 and β 2 are the coefficients on domestic and foreign prices, respectively. Providing that µt is stationary, there

years (based on the specific day started and ended). For the columns under the heading “Beatified,” the stock is the cumulative number beatified but not yet canonized at the start of the pope’s term (see the notes to the table), the duration is the mean number of years from beatification to the start of the pope’s term for the stock of beatified, and the flow is the number beatified during the pope’s term. Recall that our concept of beatification applies only to non-martyrs—as already noted, The

le Fonds Canadien pour l'Afrique a, dans sa 36ème publication vulgarisé plusieurs outils de mesure de la diversification : L'indice d'ogive est l'un des indices de diversification industrielle les plus couramment utilisés. Cet indice mesure la déviation par rapport à une répartition équitable de l'emploi dans tous les secteurs, c'est-à-dire la moyenne de la distribution. Cet indice peut également être utilisé comme mesure de la diversification des exportations ou de la concentration. La valeur minimale

Persons with Down Syndrome ..................................... 82 Appendix B. Health History Questionnaire .............................................................. 95 LIST OF FIGURES Figure Page Figure 1. (Figure 1 of Manuscript A). Mean and SD ranges of (a) mediolateralCOM position across stride (R-COMy), (b) vertical COM position across step (R-COMz), and (c) anterior-posterior COM velocity (R-V-COMx) across step as a function of walking speed for adults with and without DS. ...