# NDK_GAUSS_RNG

 int __stdcall NDK_GAUSS_RNG ( double mean, double sigma, UINT seed, double * retArray, UINT nArraySize )

Returns a sequence of random numbers drawn from Normal distribution.

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 mean of the Gaussian distribution. [in] sigma is the standard deviation of the Gaussian distribution. [in] seed is a number to initialize the psuedorandom number generator. [out] retArray are the generated random values. [in] nArraySize is the number of elements in retArray
Remarks
Requirements
 Namespace: NumXLAPI Class: SFSDK Scope: Public Lifetime: Static
 int NDK_GAUSS_RNG ( double mean, double stdev, UIntPtr seed, double[] pData, UIntPtr nSize )

Returns a sequence of random numbers drawn from Normal distribution.

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 mean of the Gaussian distribution. [in] stdev is the standard deviation of the Gaussian distribution. [in] seed is a number to initialize the psuedorandom number generator. [out] pData are the generated random values. [in] nSize is the number of elements in retArray
6. Special cases: By definition, $$\hat{\rho}(0) \equiv 1.0$$
Exceptions
Exception Type Condition
None N/A
Requirements
Namespace NumXLAPI SFSDK Public Static NumXLAPI.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