/dports/devel/py-pythran/pythran-0.11.0/pythran/pythonic/include/numpy/random/ |
H A D | weibull.hpp | 15 types::ndarray<double, pS> weibull(double a, pS const &shape); 17 auto weibull(double a, long size) 18 -> decltype(weibull(a, types::array<long, 1>{{size}})); 20 double weibull(double a, types::none_type size = {}); 22 DEFINE_FUNCTOR(pythonic::numpy::random, weibull);
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/dports/devel/py-pythran/pythran-0.11.0/pythran/pythonic/numpy/random/ |
H A D | weibull.hpp | 22 types::ndarray<double, pS> weibull(double a, pS const &shape) in weibull() function 31 auto weibull(double a, long size) in weibull() function 32 -> decltype(weibull(a, types::array<long, 1>{{size}})) in weibull() 35 return weibull(a, types::array<long, 1>{{size}}); 38 double weibull(double a, types::none_type d) in weibull() function
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/dports/math/R-cran-gss/gss/man/ |
H A D | family.Rd | 50 \alias{mkdata.weibull} 51 \alias{dev.resid.weibull} 52 \alias{dev.null.weibull} 53 \alias{cv.weibull} 54 \alias{y0.weibull} 55 \alias{proj0.weibull} 56 \alias{kl.weibull} 57 \alias{cfit.weibull} 137 dev.resid.weibull(y, eta, wt, nu) 140 y0.weibull(y, eta0, nu) [all …]
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/dports/math/R-cran-lava/lava/man/ |
H A D | eventTime.Rd | 76 # regression model and uses the function weibull.lvm instead 81 distribution(ma,"eventtime") <- weibull.lvm(scale=3,shape=0.7) 82 distribution(ma,"censtime") <- weibull.lvm(scale=2,shape=0.7) 92 # coef.coxWeibull = - coef.weibull / shape.weibull 104 # shape.coxWeibull = 1/shape.weibull 105 # scale.coxWeibull = exp(-scale.weibull/shape.weibull) 111 distribution(model.aft,"eventtime") <- weibull.lvm(scale=-log(1/100)/2,shape=0.5) 112 distribution(model.aft,"censtime") <- weibull.lvm(scale=-log(1/100)/2,shape=0.5)
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/dports/science/opensph/sph-7de6c044339f649e3d19e61f735a6a24572b792a/regression/impact/ |
H A D | impact.sph | 187 "material.weibull.exponent" = 9 188 "material.weibull.coefficient" = 4e+35 189 "material.weibull.sample_distributions" = 1 216 "material.weibull.exponent" = 9 217 "material.weibull.coefficient" = 4e+35 218 "material.weibull.sample_distributions" = 0 258 "material.weibull.exponent" = 9 259 "material.weibull.coefficient" = 4e+35 260 "material.weibull.sample_distributions" = 1
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/dports/math/py-chaospy/chaospy-4.3.3/chaospy/distributions/collection/ |
H A D | weibull.py | 8 class weibull(SimpleDistribution): class 12 super(weibull, self).__init__(dict(a=a)) 68 dist=weibull(shape),
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/dports/math/R-cran-qualityTools/qualityTools/man/ |
H A D | distribution.Rd | 11 distribution(x, distribution = "weibull", start, ...) 26 \item \dQuote{weibull} 36 By default \code{distribution} is set to \dQuote{weibull}.
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/dports/devel/boost-docs/boost_1_72_0/libs/random/test/ |
H A D | test_weibull.cpp | 17 #define BOOST_RANDOM_DISTRIBUTION_NAME weibull 18 #define BOOST_MATH_DISTRIBUTION boost::math::weibull
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/dports/devel/boost-python-libs/boost_1_72_0/libs/random/test/ |
H A D | test_weibull.cpp | 17 #define BOOST_RANDOM_DISTRIBUTION_NAME weibull 18 #define BOOST_MATH_DISTRIBUTION boost::math::weibull
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/dports/databases/percona57-pam-for-mysql/boost_1_59_0/libs/random/test/ |
H A D | test_weibull.cpp | 17 #define BOOST_RANDOM_DISTRIBUTION_NAME weibull 18 #define BOOST_MATH_DISTRIBUTION boost::math::weibull
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/dports/databases/mysqlwsrep57-server/boost_1_59_0/libs/random/test/ |
H A D | test_weibull.cpp | 17 #define BOOST_RANDOM_DISTRIBUTION_NAME weibull 18 #define BOOST_MATH_DISTRIBUTION boost::math::weibull
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/dports/databases/percona57-server/boost_1_59_0/libs/random/test/ |
H A D | test_weibull.cpp | 17 #define BOOST_RANDOM_DISTRIBUTION_NAME weibull 18 #define BOOST_MATH_DISTRIBUTION boost::math::weibull
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/dports/databases/xtrabackup/boost_1_59_0/libs/random/test/ |
H A D | test_weibull.cpp | 17 #define BOOST_RANDOM_DISTRIBUTION_NAME weibull 18 #define BOOST_MATH_DISTRIBUTION boost::math::weibull
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/dports/databases/percona57-client/boost_1_59_0/libs/random/test/ |
H A D | test_weibull.cpp | 17 #define BOOST_RANDOM_DISTRIBUTION_NAME weibull 18 #define BOOST_MATH_DISTRIBUTION boost::math::weibull
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/dports/devel/boost-libs/boost_1_72_0/libs/random/test/ |
H A D | test_weibull.cpp | 17 #define BOOST_RANDOM_DISTRIBUTION_NAME weibull 18 #define BOOST_MATH_DISTRIBUTION boost::math::weibull
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/dports/devel/hyperscan/boost_1_75_0/libs/random/test/ |
H A D | test_weibull.cpp | 17 #define BOOST_RANDOM_DISTRIBUTION_NAME weibull 18 #define BOOST_MATH_DISTRIBUTION boost::math::weibull
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/dports/math/R-cran-VGAM/VGAM/man/ |
H A D | weibull.mean.Rd | 1 \name{weibull.mean} 2 \alias{weibull.mean} 4 %\alias{weibull.lsh} 15 weibull.mean(lmean = "loglink", lshape = "loglink", imean = NULL, 109 fit <- vglm(cbind(y1, y2) ~ x2 + x3, weibull.mean, data = wdata, trace = TRUE)
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/dports/science/opensph/sph-7de6c044339f649e3d19e61f735a6a24572b792a/regression/rotation/ |
H A D | rotate.sph | 130 "material.weibull.exponent" = 9 131 "material.weibull.coefficient" = 4e+35 132 "material.weibull.sample_distributions" = 0 168 "material.weibull.exponent" = 9 169 "material.weibull.coefficient" = 4e+35 170 "material.weibull.sample_distributions" = 0
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/dports/graphics/dataplot/dataplot-2c1b27601a3b7523449de612613eadeead9a8f70/lib/programs/ |
H A D | TESTWEIB.DP | 5 weibull ppcc plot y 7 weibull prob plot y
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/dports/math/openturns/openturns-1.18/python/test/ |
H A D | t_WeibullMaxFactory_std.expout | 5 Estimated weibull= WeibullMax(beta = 1.00413, alpha = 2.49013, gamma = -1.00105) 6 Default weibull= WeibullMax(beta = 1, alpha = 1, gamma = 0)
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H A D | t_WeibullMinFactory_std.expout | 5 Estimated weibull= WeibullMin(beta = 1.00413, alpha = 2.49011, gamma = -0.998951) 6 Default weibull= WeibullMin(beta = 1, alpha = 1, gamma = 0)
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/dports/graphics/dataplot/dataplot-2c1b27601a3b7523449de612613eadeead9a8f70/lib/frmenus/prob/ |
H A D | bootdwe.men | 88 bootstrap double weibull plot _1 _8 91 bootstrap double weibull ks plot _1 _8 94 bootstrap double weibull censored plot _1 _2 _8 97 bootstrap double weibull censored plot _1 _2 _8 98 . bootstrap double weibull ks censored plot _1 _2 _8
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/dports/graphics/dataplot/dataplot-2c1b27601a3b7523449de612613eadeead9a8f70/lib/frmenus/reli/ |
H A D | bootiwe.men | 87 bootstrap inverted weibull plot _1 _8 90 bootstrap inverted weibull ks plot _1 _8 93 bootstrap inverted weibull censored plot _1 _2 _8 96 . bootstrap inverted weibull ks censored plot _1 _2 _8 97 bootstrap inverted weibull censored plot _1 _2 _8
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H A D | bootwei1.men | 88 bootstrap weibull plot _1 _8 91 bootstrap weibull ks plot _1 _8 94 bootstrap weibull censored plot _1 _2 _8 97 bootstrap weibull censored plot _1 _2 _8 98 . bootstrap weibull ks censored plot _1 _8
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H A D | bootwei2.men | 88 bootstrap weibull plot _1 _8 91 bootstrap weibull ks plot _1 _8 94 bootstrap weibull censored plot _1 _2 _8 97 bootstrap weibull censored plot _1 _2 _8 98 . bootstrap weibull ks censored plot _1 _2 _8
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