NDK_GAUSS_FORECI

int __stdcall NDK_GAUSS_FORECI ( double  mean,
double  sigma,
double  alpha,
BOOL  upper,
double *  retVal 
)

Returns the upper & lower limit of the confidence interval for the Gaussian 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] alpha is the statistical significance level. If missing, a default of 5% is assumed.
[in] upper is a switch to select the limit (upper/lower).
[out] retVal is the computed value.
Remarks
  1. The value of the sigma argument must be a positive.
Requirements
Header SFSDK.H
Library SFSDK.LIB
DLL SFSDK.DLL
Namespace:  NumXLAPI
Class:  SFSDK
Scope:  Public
Lifetime:  Static
int NDK_GAUSS_FORECI ( double  mean,
double  stdev,
double  alpha,
short  upper,
ref double  retVal 
)

Returns the upper & lower limit of the confidence interval for the Gaussian 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] alpha is the statistical significance level. If missing, a default of 5% is assumed.
[in] upper is a switch to select the limit (upper/lower).
[out] retVal is the computed value.
Remarks
  1. The value of the stdev argument must be a positive.
Exceptions
Exception Type Condition
None N/A
Requirements
Namespace NumXLAPI
Class SFSDK
Scope Public
Lifetime Static
Package 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