| VF_varianceVwW | VD_varianceVwW | VE_varianceVwW |
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| Function | "Variance with weights" between two one-dimensional distributions. |
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| Syntax C/C++ | #include <VFstd.h>
float VF_varianceVwW( fVector X, fVector Y, fVector Wt, ui size ); |
| C++ VecObj | #include <OptiVec.h>
T vector<T>::varianceVwW( const vector<T>& Y, const vector<T>& Wt ); |
| Pascal/Delphi | uses VFstd;
function VF_varianceVwW( X, Y, Wt:fVector; size:UIntSize ): |
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| CUDA function C/C++ | #include <cudaVFstd.h>
int cudaVF_varianceVwW( float *h_RetVal, fVector X, fVector Y, fVector d_Wt, ui size );
int cusdVF_varianceVwW( float *d_RetVal, fVector X, fVector Y, fVector d_Wt, ui size );
float VFcu_varianceVwW( fVector h_X, fVector h_Y, fVector h_Wt, ui size );
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| CUDA function Pascal/Delphi | uses VFstd;
function cudaVF_varianceVwW( var h_RetVal:Single; d_X, d_Y, d_Wt:fVector; size:UIntSize ): IntBool;
function cusdVF_varianceVwW( d_RetVal:PSingle; d_X, d_Y, d_Wt:fVector; size:UIntSize ): IntBool;
function VFcu_varianceVwW( h_X, h_Y, h_Wt:fVector; size:UIntSize ): Single;
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| Description | var = (1 / sum(Wti)) * sum( Wti * (Xi - Yi)2 )
The weights need not be normalized. |
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| Return value | weighted variance |
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