| /dports/math/octave-forge-statistics/statistics-1.4.3/install-conditionally/distributions/ |
| H A D | norminv.m | 19 ## @deftypefn {} {} norminv (@var{x})
31 function inv = norminv (x, mu = 0, sigma = 1) function
82 %!error norminv ()
83 %!error norminv (1,2)
84 %!error norminv (1,2,3,4)
85 %!error norminv (ones (3), ones (2), ones (2))
86 %!error norminv (ones (2), ones (3), ones (2))
87 %!error norminv (ones (2), ones (2), ones (3))
88 %!error norminv (i, 2, 2)
89 %!error norminv (2, i, 2)
[all …]
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| /dports/science/dynare/dynare-4.6.4/matlab/missing/stats/ |
| H A D | norminv.m | 1 function inv = norminv (x, m, s) function
3 % INV = norminv(X, M, S) computes the quantile (the inverse
7 % INV = norminv(X) is equivalent to INV = norminv(X, 0, 1)
10 % Original file: statistics/distributions/norminv.m
32 error ('norminv: you must give one or three arguments');
43 error ('norminv: x, m and s must be of common size or scalars');
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| /dports/math/octave-forge-statistics/statistics-1.4.3/inst/ |
| H A D | normplot.m | 24 q = norminv([1:n]'/(n+1));
65 set(gca, "ytick", norminv(t/100), "yticklabel", num2str(t));
69 miny = min(Y(:)); minq = min(q(1),norminv(0.05));
70 maxy = max(Y(:)); maxq = max(q(end),norminv(0.95));
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| H A D | normalise_distribution.m | 171 normal = norminv ( uniform );
178 precomputed_normalisation = norminv ( 1 / (2*r) : 1/r : 1 - 1 / (2*r) );
201 normalised = norminv ( distribution {1,1} ( data ) );
207 normalised ( :, k ) = norminv ( distribution { k } ( data ) ( :, k ) );
229 %! assert ( v, norminv ( [ 1 3 5 ] / 6 ), 3 * eps )
237 %! assert ( v, norminv ( [ 1 3 5 ]' / 6 ), 3 * eps )
241 %! assert ( v, norminv ( [ 3 3 7 7 11 11 ] / 12 ), 3 * eps )
245 %! assert ( v, norminv ( [ 3 3 7 7 11 11 ]' / 12 ), 3 * eps )
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| H A D | bbsinv.m | 72 y = shape * norminv (x(k));
75 y = shape(k) .* norminv (x(k));
83 %! f = @(x,a,b,c) (a + b * (c * norminv (x) + sqrt (4 + (c * norminv(x))^2))^2) / 4;
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| H A D | ztest.m | 90 zcrit = -norminv(alpha/2);
94 zcrit = -norminv(alpha);
98 zcrit = -norminv(alpha);
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| H A D | bbsrnd.m | 91 y = shape * norminv (rnd);
103 y = shape(k) .* norminv (rnd(k));
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| /dports/math/highs/HiGHS-cfe064e/src/ipm/basiclu/src/ |
| H A D | lu_condest.c | 27 double *norm, double *norminv) in lu_condest() argument
46 if (norminv) *norminv = Uinvnorm; in lu_condest()
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| /dports/science/py-scipy/scipy-1.7.1/scipy/optimize/_highs/src/ipm/basiclu/src/ |
| H A D | lu_condest.c | 27 double *norm, double *norminv) in lu_condest() argument
46 if (norminv) *norminv = Uinvnorm; in lu_condest()
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| /dports/math/octave-forge-nan/nan-3.6.1/inst/ |
| H A D | norminv.m | 1 function x = norminv(p,m,s) function
4 % x = norminv(p,m,s);
58 %!assert(sum(~isnan(norminv([-inf,-.2,0,.2,.5,1,2,inf,nan],2,0))),4)
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| H A D | nantest.m | 3 % e.g. it checks norminv, normcdf, normpdf, sort, matrix division and multiplication.
68 elseif exist('norminv','file')==2,
70 q(3) = sum(~isnan(norminv(p,2,0)))<4;
75 q(4) = ~isnan(norminv(0,NaN,0));
76 q(5) = any(norminv(0.5,[1 2 3],0)~=(1:3));
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| H A D | naninsttest.m | 35 …'center','trimean','min','max','tpdf','tcdf','tinv','normpdf','normcdf','norminv','nansum','nanstd…
109 if exist('norminv','file'),
110 fun='norminv';
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| H A D | tinv.m | 44 y = norminv(x); % do special cases, like x<=0, x>=1, isnan(x), n > 10000;
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| /dports/science/madness/madness-ebb3fd7/src/madness/external/elemental/external/pmrrr/src/ |
| H A D | process_s_task.c | 105 double ztz, norminv, mingma; in PMR_process_s_task() local
206 &norminv, &residual, &RQcorr, work); in PMR_process_s_task()
270 &norminv, &residual, &RQcorr, work); in PMR_process_s_task()
298 pmrrr_dscal(&suppsize, &norminv, &Z[i_Zfrom + zind*ldz], &IONE); in PMR_process_s_task()
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| /dports/math/octave-forge-statistics/statistics-1.4.3/install-conditionally/tests/ |
| H A D | z_test.m | 96 %! zval = abs (norminv (0.5*pval));
98 %! zval = -abs (norminv (0.5*pval));
107 %! zval = norminv (1-pval);
115 %! zval = norminv (pval);
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| H A D | z_test_2.m | 104 %! zval = abs (norminv (0.5*pval));
106 %! zval = -abs (norminv (0.5*pval));
123 %! zval = norminv (1-pval);
139 %! zval = norminv (pval);
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| /dports/math/octave-forge-stk/stk/inst/misc/plot/ |
| H A D | stk_plot_shadedci.m | 41 % norminv (1 - 0.05/2) = 1.959964
42 % norminv (1 - 0.01/2) = 2.575829
43 % norminv (1 - 0.001/2) = 3.290527
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| /dports/science/dakota/dakota-6.13.0-release-public.src-UI/examples/training/examples/pstudy_pics/ |
| H A D | plot_pstudy.m | 89 equiprob_x = norminv(0.1:0.1:0.9, 1.0, 0.10);
93 equiprob_y = norminv(0.1:0.1:0.9, 2.0, 0.50);
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| /dports/games/supertuxkart/SuperTuxKart-1.2-src/src/graphics/ |
| H A D | spherical_harmonics.cpp | 187 float norminv; in getXYZ() local
222 norminv = 1.0f / sqrtf(x * x + y * y + z * z); in getXYZ()
223 x *= norminv, y *= norminv, z *= norminv; in getXYZ()
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| /dports/math/octave-forge-nan/nan-3.6.1/ |
| H A D | INDEX | 7 nanfilter1uc normpdf normcdf norminv meandev
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| /dports/math/octave-forge-statistics/statistics-1.4.3/install-conditionally/ |
| H A D | INDEX.in | 54 norminv
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| /dports/science/dynare/dynare-4.6.4/matlab/ |
| H A D | draw_prior_density.m | 66 infbound = norminv(truncprior,p6(indx),p7(indx));
67 supbound = norminv(1-truncprior,p6(indx),p7(indx));
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| H A D | prior_bounds.m | 108 bounds.lb(i) = norminv(prior_trunc,p6(i),p7(i));
109 bounds.ub(i) = norminv(1-prior_trunc,p6(i),p7(i));
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| /dports/math/qtiplot-doc/qtiplot-0.9.8.9/qtiplot/src/scripting/ |
| H A D | muParserScripting.h | 135 static double norminv(double x){return gsl_cdf_ugaussian_Pinv(x);};
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| /dports/math/octave-forge-tsa/tsa-4.6.3/inst/ |
| H A D | pacf.m | 66 ciu = norminv(alpha/2).*s;
|