Name

nisp_sum — Returns the value of the Product function

Calling Sequence

   y = nisp_sum ( x )
   
   

Parameters

a:

a 5-by-1 matrix of doubles

x:

a np-by-2 matrix of doubles, where np is the number of experiments.

y:

a np-by-1 matrix of doubles

Description

This function returns the value of the Sum function.

This function is defined by

where X1, X2, X3, X4 are normal random variables with means mu1,mu2,mu3,mu4 and standard variations sigma1,sigma2,sigma3,sigma4.

Examples

x = [1 2 3 4];
a = [5 6 7 8 9]';
y = nisp_sum (x,a)
expected = 79

   

Authors

Copyright (C) 2008-2011 - INRIA - Michael Baudin

Bibliography

"Sensitivity analysis in practice", Saltelli, Tarantolla, Compolongo, Ratto, Wiley, 2004

"An importance quantification technique in uncertainty analysis for computer models", Ishigami, Homma, 1990, Proceedings of the ISUMA'90. First international symposium on uncertainty modelling and Analysis, University of Maryland, USA, pp. 398-403.