Verify that the cointegration residuals et are stationary by using a unit-root test like the Augmented Dickey-Fuller(ADF) test.
これはすべての残差の合計である(コンフィギュレーションまたはオブジェクトごとに提示できる)。
It corresponds to the sum of all residuals(which can be presented by configuration or object).
残差相関行列:この行列は,変数相関行列と再現相関行列の間の差として計算される.。
Residual correlation matrix: This matrix is calculated as the difference between the variables correlation matrix and the reproduced correlation matrix.
原理的には、残差はX軸の周りをランダムに分布しているはずです。
In principle, the residuals should be distributed randomly around the X-axis.
残差ブロック(左)は、通常のCNN面のスケーリング問題に対応します。
A residual block(left) deals with the problem of scaling a normal CNN faces.
肝臓の浄化は、肝臓から石、残差、結晶と廃棄物を排除すべての毒素を除去し、肝臓の疾患を扱います。
Liver cleanse eliminates stones, residuals, crystals and wastes from the liver, removes all toxins and treats liver diseases.
多変量検定以下のセクションにおいて、Eは残差交差積行列、Hはモデル交差積行列です。
Multivariate Tests In the following, E is the residual cross product matrix and H is the model cross product matrix.
この条件は一般に、残差が正規分布に従うという条件よりも強力です。
This condition is typically stronger than the condition that the residuals follow a normal distribution.
Predictions and residuals: This table gives for each observation the input data, the value predicted by the model and the residuals.
この改訂された質量を太陽系の数値積分に代入すると、外部の惑星の位置の残差は結局なくなりました。
When these updated masses wereinserted in the numerical integrations of the solar system, the residuals in the positions of the outer planets finally disappeared.
残差棒グラフ(下図)は、標準化残差対体重の可視化を可能にします。
The residuals bar chart(see below) allows us to visualize the standardized residuals versus the Weight.
次の表(デモのExcelファイルを参照)は、残差分析を示します。
The next table(see in the demo Excel file)shows the analysis of residuals.
The residual table shows, for each observation, the time variable, the censoring variable and the value of the residuals(deviance, martingale, Schoenfeld and score).
Technically, model residuals(or errors) are the distances between data points and the model(which is represented by the straight line in the plant height linear regression example).
Residual connections enable the parameter gradients to propagate more easily from the output layer to the earlier layers of the network, which makes it possible to train deeper networks.
If only one quantitative explanatory variable has been selected, the first chart represents the data and the curve for the chosen function.The second chart is the bar chart of the residuals.
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