int __stdcall NDK_ARMA_VALIDATE | ( | double | mean, |
double | sigma, | ||
double * | phis, | ||
size_t | p, | ||
double * | thetas, | ||
size_t | q | ||
) |
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] 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
-
- The underlying model is described here.
- NDK_ARMA_VALIDATE checks the process for stability: stationarity, invertability, and causality.
- Using the Solver add-in in Excel, you can specify the return value of NDK_ARMA_VALIDATE as a constraint to ensure a stationary ARMA model.
- The long-run mean can take any value or be omitted, in which case a zero value is assumed.
- The residuals/innovations standard deviation (sigma) must greater than zero.
- 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).
- 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
-
Namespace: | NumXLAPI |
Class: | SFSDK |
Scope: | Public |
Lifetime: | Static |
int NDK_ARMA_VALIDATE | ( | double | mean, |
double | sigma, | ||
double[] | phis, | ||
UIntPtr | p, | ||
double[] | thetas, | ||
UIntPr | q | ||
) |
Examines the model's parameters for stability constraints (e.g. stationary, etc.).
- Return Value
-
a value from NDK_RETCODE enumeration for the status of the call.
NDK_SUCCESS operation successful Error Error Code
- Parameters
-
[in] mean is the ARMA model mean (i.e. mu). [in] sigma is the standard deviation of the model's residuals/innovations. [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
-
- The underlying model is described here.
- NDK_ARMA_VALIDATE checks the process for stability: stationarity, invertability, and causality.
- Using the Solver add-in in Excel, you can specify the return value of NDK_ARMA_VALIDATE as a constraint to ensure a stationary ARMA model.
- The long-run mean can take any value or be omitted, in which case a zero value is assumed.
- The residuals/innovations standard deviation (sigma) must greater than zero.
- 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).
- 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).
- Exceptions
-
Exception Type Condition None N/A
- Requirements
-
Namespace NumXLAPI Class SFSDK Scope Public Lifetime Static Package NumXLAPI.DLL
- 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