The MsInversion enumeration contains initial transformation methods applied to variables.
Value | Brief description |
0 | None. No transformation. |
1 | Log. Natural logarithm. |
2 | DLog. Logarithms difference. |
3 | PCH. Rate of change. |
4 | Diff. Difference. |
5 | Normalization. Normalization. |
6 | Standardization. Standardization. |
7 | RateOfChange. Growth rate. |
8 | PCHA. Annual rate of change. |
9 | TS. Trend subtract. |
10 | SA. Seasonal adjustment. |
11 | OA. Outlier adjustment. |
Log. Logarithm of the series points is taken: ln(X[t]).
DLog. The difference of logarithms of the neighbor points of the output variable for the specified period is found: (ln(x[t]/X[t-N]).
PCH. Changes of the variable values, in percents to the previous period is calculated: (X[t]/X[t-N]-1)*100.
Diff. Series values increase is calculated: X[t]-X[t-N].
Normalization. Series points are normalized: X[t]/σ(X), where σ is root-mean-square deviation of the series.
Standardization. Series points are standardized: (X[t]-M(X))/σ(X), where σ is root-mean-square deviation of the series, M is average of the series.
RateOfChange. Series rate of change is calculated: (X[t]/X[t-N]).
PCHA. Annual series rate of change is calculated: (((X[t]/X[t-1])^S)-1)*100 where S is the number of periods in a year.
TS. Trend is subtracted by the formula: x[t]-f(x(t), S) where f(x(t), S) is series trend, S is trend type determined by the IMsInversionInfo.Dependence property.
SA. Adjustment with the help of the Census1 method is executed by the formula: Iff(X=0,SA Multiplicative, SA Additive), X are all series values. SA Additive(X[t])=X[t]-s1(X[t]) where s1 is series seasonal component X[t]. SA Multiplicative(X[t])=X[t]/s2(X[t])*100, where s2 is series seasonal component X[t]. Seasonality type is also determined by the IMsInversionInfo.Seasonality property.
OA. Outliers are adjusted by the k-sigma method: x[t]-f(x(t), k), where f(x(t), k) is outlier of the series x(t), k is parameter of calculation by k-sigma method determined by the MsInversionInfo.K property.
See also: