NDK_FARIMA_VALIDATE

int __stdcall NDK_FARIMA_VALIDATE ( double  mean,
double  sigma,
double  nIntegral,
double *  phis,
size_t  p,
double *  thetas,
size_t 
)

Examines the model's parameters for stability constraints (e.g. stationary, etc.).

Returns
status code of the operation
Return values
NDK_SUCCESS  Operation successful
NDK_FAILED  Operation unsuccessful. See Macros for full list.
Parameters
[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 integration 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)
Remarks
  1. The underlying model is described here.
  2. NDK_FARIMA_VALIDATE checks the FARIMA model for stability: stationarity, invertibility, and causality.
  3. The integration order argument (d) must be a positive integer.
  4. The long-run mean can take any value or may be omitted, in which case a zero value is assumed.
  5. The residuals/innovations standard deviation (sigma) must be greater than zero.
  6. For the input argument (phi):
    • The input argument is optional and can be omitted, in which case no AR component is included.
    • The order of the parameters starts with the lowest lag.
    • The order of the AR component model is solely determined by the order of the last value in the array with a numeric value (vs. missing or error).
  7. For the input argument (theta):
    • The input argument is optional and can be omitted, in which case no MA component is included.
    • The order of the parameters starts with the lowest lag.
    • The order of the MA component model is solely determined by the order of the last value in the array with a numeric value (vs. missing or error).
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