/dports/math/openturns/openturns-1.18/lib/test/ |
H A D | t_ChiSquareFactory_std.expout | 1 Distribution =class=ChiSquare name=ChiSquare dimension=1 nu=0.5 2 Estimated distribution=class=ChiSquare name=ChiSquare dimension=1 nu=0.49317 3 Distribution =class=ChiSquare name=ChiSquare dimension=1 nu=1 4 Estimated distribution=class=ChiSquare name=ChiSquare dimension=1 nu=1.00223 5 Distribution =class=ChiSquare name=ChiSquare dimension=1 nu=2.5 6 Estimated distribution=class=ChiSquare name=ChiSquare dimension=1 nu=2.48936 7 Default distribution=class=ChiSquare name=ChiSquare dimension=1 nu=1 9 ChiSquare =class=ChiSquare name=ChiSquare dimension=1 nu=2.5 10 Estimated chiSquare=class=ChiSquare name=ChiSquare dimension=1 nu=2.48936 11 Default chiSquare=class=ChiSquare name=ChiSquare dimension=1 nu=1 [all …]
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H A D | t_ChiSquare_std.expout | 1 Testing class ChiSquare 5 class=ChiSquare name=ChiSquare dimension=1 nu=1.5 7 class=ChiSquare name=ChiSquare dimension=1 nu=1.5 10 Distribution class=ChiSquare name=ChiSquare dimension=1 nu=1.5 11 Distribution ChiSquare(nu = 1.5) 40 …ChiSquare(nu = 1.5)) gradientImplementation=MinimumVolumeLevelSetGradient(ChiSquare(nu = 1.5)) hes…
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H A D | t_ChiSquare_std.cxx | 27 class TestObject : public ChiSquare 30 TestObject() : ChiSquare(1.5) {} in TestObject() 47 ChiSquare distribution(1.5); in main() 103 PDFgrFD[0] = (ChiSquare(distribution.getNu() + eps).computePDF(point) - in main() 104 ChiSquare(distribution.getNu() - eps).computePDF(point)) / (2.0 * eps); in main() 109 CDFgrFD[0] = (ChiSquare(distribution.getNu() + eps).computeCDF(point) - in main() 110 ChiSquare(distribution.getNu() - eps).computeCDF(point)) / (2.0 * eps); in main() 141 ChiSquare::PointWithDescriptionCollection parameters = distribution.getParametersCollection(); in main()
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H A D | t_ChiSquareFactory_std.cxx | 35 ChiSquare distribution(0.5); in main() 45 distribution = ChiSquare(1.0); in main() 52 distribution = ChiSquare(2.5); in main() 63 ChiSquare estimatedChiSquare(factory.buildAsChiSquare(sample)); in main()
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/dports/math/openturns/openturns-1.18/lib/src/Uncertainty/Distribution/ |
H A D | ChiSquare.cxx | 31 CLASSNAMEINIT(ChiSquare) 36 ChiSquare::ChiSquare() in ChiSquare() function in ChiSquare 49 ChiSquare::ChiSquare(const Scalar nu) in ChiSquare() function in ChiSquare 61 Bool ChiSquare::operator ==(const ChiSquare & other) const in operator ==() 69 const ChiSquare* p_other = dynamic_cast<const ChiSquare*>(&other); in equals() 74 String ChiSquare::__repr__() const in __repr__() 103 Scalar ChiSquare::getNu() const in getNu() 110 ChiSquare * ChiSquare::clone() const in clone() 112 return new ChiSquare(*this); in clone() 116 void ChiSquare::computeRange() in computeRange() [all …]
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H A D | ChiSquareFactory.cxx | 67 ChiSquare ChiSquareFactory::buildAsChiSquare(const Sample & sample) const in buildAsChiSquare() 76 ChiSquare result(mean); in buildAsChiSquare() 81 ChiSquare ChiSquareFactory::buildAsChiSquare(const Point & parameters) const in buildAsChiSquare() 85 ChiSquare distribution; in buildAsChiSquare() 95 ChiSquare ChiSquareFactory::buildAsChiSquare() const in buildAsChiSquare() 97 return ChiSquare(); in buildAsChiSquare()
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/dports/math/openturns/openturns-1.18/python/test/ |
H A D | t_ChiSquareFactory_std.expout | 1 distribution= class=ChiSquare name=ChiSquare dimension=1 nu=0.5 2 Estimated distribution= class=ChiSquare name=ChiSquare dimension=1 nu=0.49317 3 distribution= class=ChiSquare name=ChiSquare dimension=1 nu=1 4 Estimated distribution= class=ChiSquare name=ChiSquare dimension=1 nu=1.00223 5 distribution= class=ChiSquare name=ChiSquare dimension=1 nu=2.5 6 Estimated distribution= class=ChiSquare name=ChiSquare dimension=1 nu=2.48936 7 Default distribution= ChiSquare(nu = 1) 9 ChiSquare = ChiSquare(nu = 2.5) 10 Estimated chiSquare= ChiSquare(nu = 2.48936) 11 Default chiSquare= ChiSquare(nu = 1) [all …]
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H A D | t_ChiSquare_std.py | 11 distribution = ChiSquare(1.5) 65 PDFgrFD[0] = (ChiSquare(distribution.getNu() + eps).computePDF(point) - 66 ChiSquare(distribution.getNu() - eps).computePDF(point)) / (2.0 * eps) 71 CDFgrFD[0] = (ChiSquare(distribution.getNu() + eps).computeCDF(point) - 72 ChiSquare(distribution.getNu() - eps).computeCDF(point)) / (2.0 * eps)
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H A D | t_ChiSquareFactory_std.py | 10 distribution = ChiSquare(0.5) 17 distribution = ChiSquare(1.0) 22 distribution = ChiSquare(2.5)
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H A D | t_ChiSquare_std.expout | 1 Distribution class=ChiSquare name=ChiSquare dimension=1 nu=1.5 2 Distribution ChiSquare(nu = 1.5) 30 MinimumVolumeLevelSetEvaluation(ChiSquare(nu = 1.5))
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/dports/misc/hs-hascard/hascard-0.3.0.1/_cabal_deps/random-fu-0.2.7.7/src/Data/Random/Distribution/ |
H A D | ChiSquare.hs | 8 module Data.Random.Distribution.ChiSquare where 16 chiSquare :: Distribution ChiSquare t => Integer -> RVar t 17 chiSquare = rvar . ChiSquare 19 chiSquareT :: Distribution ChiSquare t => Integer -> RVarT m t 20 chiSquareT = rvarT . ChiSquare 22 newtype ChiSquare b = ChiSquare Integer type 24 instance (Fractional t, Distribution Gamma t) => Distribution ChiSquare t where 25 rvarT (ChiSquare 0) = return 0 26 rvarT (ChiSquare n) 30 instance (Real t, Distribution ChiSquare t) => CDF ChiSquare t where [all …]
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/dports/math/openturns/openturns-1.18/python/src/ |
H A D | ChiSquare.i | 9 %include openturns/ChiSquare.hxx 10 namespace OT { %extend ChiSquare { ChiSquare(const ChiSquare & other) { return new OT::ChiSquare(ot… in ChiSquare() function
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H A D | ChiSquare_doc.i.in | 1 %feature("docstring") OT::ChiSquare 5 ChiSquare(*nu=1.0*) 38 >>> distribution = ot.ChiSquare(2.0) 46 %feature("docstring") OT::ChiSquare::getNu 56 %feature("docstring") OT::ChiSquare::setNu
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H A D | FisherSnedecor_doc.i.in | 10 First :class:`~openturns.ChiSquare` degrees of freedom (numerator). 12 Second :class:`~openturns.ChiSquare` degrees of freedom (denominator). 57 First :class:`~openturns.ChiSquare` degrees of freedom (numerator)." 67 Second :class:`~openturns.ChiSquare` degrees of freedom (denominator)." 77 First :class:`~openturns.ChiSquare` degrees of freedom (numerator)." 87 Second :class:`~openturns.ChiSquare` degrees of freedom (denominator)."
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H A D | ChiSquareFactory_doc.i.in | 18 DistributionFactory, ChiSquare" 23 "Build the ChiSquare distribution. 40 dist : :class:`~openturns.ChiSquare`
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H A D | InverseChiSquare_doc.i.in | 4 Helper class for defining the Inverse ChiSquare distribution which is the inverse of a :math:`\chi^… 18 :math:`X` follows an Inverse ChiSquare distribution of parameter :math:`\nu` means that :math:`\dfr… 19 The Inverse ChiSquare distribution parametered by :math:`\nu` is exactly the :math:`InverseGamma(2,…
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/dports/math/openturns/openturns-1.18/lib/src/Uncertainty/Distribution/openturns/ |
H A D | ChiSquare.hxx | 34 class OT_API ChiSquare class 41 ChiSquare(); 44 explicit ChiSquare(const Scalar nu); 48 Bool operator ==(const ChiSquare & other) const; 62 ChiSquare * clone() const override;
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H A D | ChiSquareFactory.hxx | 54 ChiSquare buildAsChiSquare(const Sample & sample) const; 55 ChiSquare buildAsChiSquare(const Point & parameters) const; 56 ChiSquare buildAsChiSquare() const;
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/dports/astro/nightfall/nightfall-1.92/ |
H A D | LightMerit.c | 49 double Add = 0.0, ChiSquare = 0.0; /* merit */ in MeritFunction() local 189 ChiSquare = ChiSquare + Add; in MeritFunction() 196 ChiSquare, Add, Parabolic); in MeritFunction() 288 ChiSquare = ChiSquare + Add; in MeritFunction() 293 ChiSquare, Add, Parabolic); in MeritFunction() 301 printf(_("Chi Square = %9.3g\n"), ChiSquare); in MeritFunction() 306 printf(_("%15.9g\n"), ChiSquare/dof); in MeritFunction() 313 if (dof != 0) return( (ChiSquare/dof) ); in MeritFunction()
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/dports/math/p5-Statistics-ChiSquare/Statistics-ChiSquare-1.0000/ |
H A D | META.yml | 15 name: Statistics-ChiSquare 23 bugtracker: https://github.com/DrHyde/perl-modules-Statistics-ChiSquare/issues 24 repository: https://github.com/DrHyde/perl-modules-Statistics-ChiSquare
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/dports/devel/blitz/blitz-1.0.2/random/ |
H A D | chisquare.h | 25 class ChiSquare : public Gamma<T,IRNG,stateTag> 30 ChiSquare(T df) in ChiSquare() function 36 ChiSquare(T df, unsigned int i) in ChiSquare() function
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/dports/science/colt/colt/src/cern/jet/random/ |
H A D | ChiSquare.java | 38 public class ChiSquare extends AbstractContinousDistribution { class 45 protected static ChiSquare shared = new ChiSquare(1.0,makeDefaultGenerator()); 52 public ChiSquare(double freedom, RandomEngine randomGenerator) { in ChiSquare() method in ChiSquare
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/dports/science/rdkit/rdkit-Release_2021_03_5/Code/ML/InfoTheory/Wrap/ |
H A D | rdInfoTheory.cpp | 93 res = ChiSquare(data, rows, cols); in chiSquare() 96 res = ChiSquare(data, rows, cols); in chiSquare() 99 res = ChiSquare(data, rows, cols); in chiSquare() 102 res = ChiSquare(data, rows, cols); in chiSquare()
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/dports/www/qt5-webengine/qtwebengine-everywhere-src-5.15.2/src/3rdparty/chromium/third_party/abseil-cpp/absl/random/internal/ |
H A D | chi_square_test.cc | 27 using absl::random_internal::ChiSquare; 34 TEST(ChiSquare, Value) { in TEST() argument 168 ChiSquare(std::begin(spec.actual), std::end(spec.actual), in TEST() 326 double chi_square = ChiSquare(std::begin(counts), std::end(counts), in TEST()
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/dports/devel/abseil/abseil-cpp-20211102.0/absl/random/internal/ |
H A D | chi_square_test.cc | 27 using absl::random_internal::ChiSquare; 34 TEST(ChiSquare, Value) { in TEST() argument 168 ChiSquare(std::begin(spec.actual), std::end(spec.actual), in TEST() 326 double chi_square = ChiSquare(std::begin(counts), std::end(counts), in TEST()
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