NDK_RMSEASONAL

Last Modified on 04/21/2016 1:17 pm CDT
int __stdcall NDK_RMSEASONAL ( double *  X,
size_t  N,
size_t  period 
)

Returns an array of the deseasonalized time series, assuming a linear model.

Returns
status code of the operation
Return values
NDK_SUCCESS  Operation successful
NDK_FAILED  Operation unsuccessful. See Macros for full list.
Parameters
[in,out] X is the univariate time series data (a one dimensional array).
[in] N  is the number of observations in X.
[in] period  is the number of observations(i.e. points) in one season.
Remarks
Requirements
Header SFSDK.H
Library SFSDK.LIB
DLL SFSDK.DLL
Examples
Namespace:  NumXLAPI
Class:  SFSDK
Scope:  Public
Lifetime:  Static
int NDK_RMSEASONAL ( double[]  pData,
UIntPtr  nSize,
UIntPtr  period 
)

Returns an array of the deseasonalized time series, assuming a linear model.

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] period  is the number of observations(i.e. points) in one season.
Exceptions
Exception Type Condition
None N/A
Requirements
Namespace NumXLAPI
Class SFSDK
Scope Public
Lifetime Static
Package NumXLAPI.DLL
Examples

	







  



	
Remarks

	

	
    
	

	




	
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




	

    

   		
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