Searched refs:standardErrors (Results 1 – 8 of 8) sorted by relevance
79 if (m.standardErrors()[i] > tolerance) { in testRegression()87 << "\n error: " << m.standardErrors()[i] in testRegression()97 const Real err[] = {m.standardErrors()[0], m.standardErrors()[1], in testRegression()98 std::sqrt( m.standardErrors()[2]*m.standardErrors()[2] in testRegression()99 +m.standardErrors()[4]*m.standardErrors()[4]), in testRegression()100 m.standardErrors()[3]}; in testRegression()166 if (m.standardErrors()[i] > tolerance) { in testMultiDimRegression()168 << "\n error: " << m.standardErrors()[i] in testMultiDimRegression()175 << "\n error: " << m.standardErrors()[i] in testMultiDimRegression()184 if (m1.standardErrors()[i] > tolerance) { in testMultiDimRegression()[all …]
3238 Matrix standardErrors(vegasMatrix); in testPathwiseVegas() local3254 standardErrors[i][j] = errors[i*entriesPerProduct + numberRates+1 + j]; in testPathwiseVegas()3319 Real thisSE = standardErrors[s][b]; in testPathwiseVegas()3544 Matrix standardErrors(vegasMatrix); in testPathwiseVegas() local3628 Real thisSE = standardErrors[s][b]; in testPathwiseVegas()4086 Matrix standardErrors(vegasMatrix); in testPathwiseMarketVegas() local4093 standardErrors[i][j] = errors[i*entriesPerProduct + numberRates+1 +j]; in testPathwiseMarketVegas()4149 Real thisErrorInSds = thisError / (standardErrors[i][j]+1E-6); in testPathwiseMarketVegas()4241 Matrix standardErrors(vegasMatrix); in testPathwiseMarketVegas() local4249 standardErrors[i][j] = errors[i*entriesPerProduct +numberRates+j+1]; in testPathwiseMarketVegas()[all …]
255 Point standardErrors(basisSize, 1); in getCoefficientsStandardErrors() local256 for (UnsignedInteger i = 0; i < standardErrors.getSize(); ++i) in getCoefficientsStandardErrors()258 standardErrors[i] = std::sqrt(std::abs(sigma2 * diagGramInv[i])); in getCoefficientsStandardErrors()260 return standardErrors; in getCoefficientsStandardErrors()
80 const Point standardErrors(linearModelResult_.getCoefficientsStandardErrors()); in __str__() local101 st = OSS() << offset << standardErrors[i]; in __str__()128 st = OSS() << standardErrors[i]; in __str__()222 const Point standardErrors(linearModelResult_.getCoefficientsStandardErrors()); in getCoefficientsTScores() local226 tScores[i] = estimates[i] / standardErrors[i]; in getCoefficientsTScores()
8 standardErrors "errors" packageName26 ErrAlreadyBlacklisted = standardErrors.New("keybind already blacklisted")29 ErrBlacklisted = standardErrors.New("keybind blacklisted")32 ErrNotBlacklisted = standardErrors.New("keybind not blacklisted")35 ErrNoSuchKeybind = standardErrors.New("no such keybind")38 ErrUnknownView = standardErrors.New("unknown view")41 ErrQuit = standardErrors.New("quit")
62 const Array& standardErrors() const { return standardErrors_; } in standardErrors() function in QuantLib::GeneralLinearLeastSquares
99 standardErrors : :class:`~openturns.Point`