|
|
@@ -1130,10 +1130,10 @@ export default {
|
|
|
fit_residu: {
|
|
|
zh: `拟合残差：计算一个指标(B)的实际值和拟合值(B’)的差值。拟合值B’由指标A（自变量）和指标B（因变量）通过线性回归拟合得到，具体算法如下:<br>
|
|
|
根据指标A（自变量）和指标B（因变量）过去一个时间段内(这个N期可以是从最新值往前倒退N期，包含最新，也可以是选取历史数据的一个时间段内的数据)，生成线性回归方程 Y=aX+b<br>
|
|
|
- 由指标A（自变量）和拟合方程的系数a，b，计算得到拟合出来的系列B’=aA b 再计算拟合系列B’和原始系列B的差值得到新的数据系列Delta，Delta=B-B'`,
|
|
|
- en: `Fitting Residuals：Compute the difference between the actual value of a metric (B) and its fitted value (B’). The fitted value B’ is obtained through linear regression fitting of metric A (independent variable) and metric B (dependent variable), using the following algorithm:<br>
|
|
|
- Based on past data for a certain period (this period N can be counting backwards N periods from the most recent, including the latest, or it can be a selected historical time frame) of metrics A (independent variable) and B (dependent variable), generate a linear regression equation Y = aX + b.<br>
|
|
|
- Using the independent variable A and coefficients a, b from the fitting equation, calculate the fitted series B’ = aA + b. Then compute the difference between the fitted series B’ and the original series B to obtain a new data series Delta, where Delta = B - B’.`
|
|
|
+ 由指标A（自变量）和拟合方程的系数a，b，计算得到拟合出来的系列B’=aA+b 再计算拟合系列B’和原始系列B的差值得到新的数据系列Delta，Delta=B-B'`,
|
|
|
+ en: `Fitting Residuals: Calculate the difference between the actual value of an indicator (B) and its fitted value (B'). The fitted value (B') is obtained by fitting the indicator A (independent variable) and the indicator B (dependent variable) through linear regression, with the specific algorithm as follows:<br>
|
|
|
+ According to indicator A (independent variable) and indicator B (dependent variable) over a certain period of time in the past (this N-period can be from the most recent value backwards N periods, including the most recent, or it can be selected from a specific period of historical data), generate a linear regression equation Y = aX + b.<br>
|
|
|
+ By using the independent variable A and the coefficients a and b from the fitting equation, calculate the fitted series B' = aA + b. Then, calculate the difference between the fitted series B' and the original series B to obtain a new data series Delta, where Delta = B - B'.`
|
|
|
},
|
|
|
annual: {
|
|
|
zh: `年化值=S / a (S表示指标数值，a表示年化平均占比)<br>
|
ldong