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QuantLib: a free/open-source library for quantitative finance
Reference manual - version 1.40
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general linear least squares regression More...
#include <ql/math/generallinearleastsquares.hpp>
Public Member Functions | |
| template<class xContainer, class yContainer, class vContainer> | |
| GeneralLinearLeastSquares (const xContainer &x, const yContainer &y, const vContainer &v) | |
| template<class xIterator, class yIterator, class vIterator> | |
| GeneralLinearLeastSquares (xIterator xBegin, xIterator xEnd, yIterator yBegin, yIterator yEnd, vIterator vBegin, vIterator vEnd) | |
| const Array & | coefficients () const |
| const Array & | residuals () const |
| const Array & | standardErrors () const |
| standard parameter errors as given by Excel, R etc. | |
| const Array & | error () const |
| modeling uncertainty as definied in Numerical Recipes | |
| Size | size () const |
| Size | dim () const |
Protected Member Functions | |
| template<class xIterator, class yIterator, class vIterator> | |
| void | calculate (xIterator xBegin, xIterator xEnd, yIterator yBegin, yIterator yEnd, vIterator vBegin) |
Protected Attributes | |
| Array | a_ |
| Array | err_ |
| Array | residuals_ |
| Array | standardErrors_ |
general linear least squares regression
References: "Numerical Recipes in C", 2nd edition, Press, Teukolsky, Vetterling, Flannery,