| int __stdcall NDK_FARIMA_FITTED | ( | double * | pData, |
| size_t | nSize, | ||
| double | mean, | ||
| double | sigma, | ||
| double | nIntegral, | ||
| double * | phis, | ||
| size_t | p, | ||
| double * | thetas, | ||
| size_t | q, | ||
| WORD | retType | ||
| ) |
Returns an array of cells for the fitted values (i.e. mean, volatility and residuals
- Returns
- status code of the operation
- Return values
-
NDK_SUCCESS Operation successful NDK_FAILED Operation unsuccessful. See Macros for full list.
- Parameters
-
[in,out] pData is the univariate time series data (a one dimensional array). [in] nSize is the number of observations in pData. [in] mean is the ARMA model mean (i.e. mu). [in] sigma is the standard deviation of the model's residuals/innovations. [in] nIntegral is the model's integration fractional order. [in] phis are the parameters of the AR(p) component model (starting with the lowest lag). [in] p is the number of elements in phis (order of AR component) [in] thetas are the parameters of the MA(q) component model (starting with the lowest lag). [in] q is the number of elements in thetas (order of MA component) [in] retType is a switch to select a output type Order Description 1 Fitted mean (default) 2 Fitted standard deviation or volatility 3 Raw (non-standardized) residuals 4 Standardized residuals
- Remarks
-
- The time series is homogeneous or equally spaced
- The time series may include missing values (e.g. NaN) at either end.
- Requirements
-
Header SFSDK.H Library SFSDK.LIB DLL SFSDK.DLL
- Examples
-
- References
- * Hamilton, J .D.; Time Series Analysis , Princeton University Press (1994), ISBN 0-691-04289-6
- * Tsay, Ruey S.; Analysis of Financial Time Series John Wiley & SONS. (2005), ISBN 0-471-690740
- * D. S.G. Pollock; Handbook of Time Series Analysis, Signal Processing, and Dynamics; Academic Press; Har/Cdr edition(Nov 17, 1999), ISBN: 125609906
- * Box, Jenkins and Reisel; Time Series Analysis: Forecasting and Control; John Wiley & SONS.; 4th edition(Jun 30, 2008), ISBN: 470272848
