Searched refs:total_mean (Results 1 – 10 of 10) sorted by relevance
/dports/science/dynare/dynare-4.6.4/matlab/convergence_diagnostics/ |
H A D | geweke_moments.m | 71 total_mean=mean(window_means); 72 total_variance=mean(window_uncentered_variances)-total_mean^2; 75 results_vec(1,1)=total_mean; 77 results_struct.posteriormean = total_mean; 89 centered_window_means=window_means-total_mean;
|
/dports/science/dakota/dakota-6.13.0-release-public.src-UI/packages/pecos/src/ |
H A D | InterpPolyApproximation.cpp | 119 Real total_mean = mean(); in compute_component_sobol() local 121 partialVariance[0] = total_mean * total_mean; in compute_component_sobol()
|
H A D | NodalInterpPolyApproximation.cpp | 3684 Real total_mean = mean(); in compute_total_sobol_indices() local 3694 totalSobolIndices[j] = 1. - member_integral(complement_set, total_mean) in compute_total_sobol_indices()
|
H A D | HierarchInterpPolyApproximation.cpp | 4804 Real total_mean = mean(); in compute_total_sobol_indices() local 4828 member_colloc_index, total_mean, in compute_total_sobol_indices()
|
/dports/math/octave-forge-statistics/statistics-1.4.3/install-conditionally/tests/ |
H A D | anova.m | 81 total_mean = mean (y(:)); variable 82 SSB = sum (group_count .* (group_mean - total_mean) .^ 2); 83 SST = sumsq (reshape (y, n, 1) - total_mean);
|
/dports/graphics/sane-backends/sane-backends-1.0.32/sanei/ |
H A D | sanei_ir.c | 236 double total_mean; in sanei_ir_threshold_otsu() local 255 total_mean = mean[HISTOGRAM_SIZE - 1]; in sanei_ir_threshold_otsu() 276 bcv = total_mean * cnh[i] - mean[i]; in sanei_ir_threshold_otsu()
|
/dports/math/xldlas/xldlas/ |
H A D | analysis.c | 3325 float total_mean; in do_anova() local 3386 total_mean = 0; in do_anova() 3390 total_mean = total_mean + sample_means[i] * true_obs[i]; in do_anova() 3393 total_mean = total_mean / total_obs; in do_anova() 3410 ssg = ssg + true_obs[i] * pow(sample_means[i] - total_mean,2); in do_anova()
|
/dports/math/octave-forge-image/image-2.12.0/inst/ |
H A D | graythresh.m | 270 total_mean = sum (bins .* norm_hist); variable 271 total_variance = sum (((bins - total_mean).^2) .* norm_hist);
|
/dports/math/cado-nfs/cado-nfs-f4284e2391121b2bfb97bc4880b6273c7250dc2f/scripts/cadofactor/ |
H A D | cadotask.py | 685 (total_mean, total_samples) = Statistics.combine_mean(means, samples) 689 total_var = Statistics.combine_mean(t, samples)[0] - total_mean**2 690 return [total_samples, total_mean, sqrt(total_var)]
|
/dports/math/octave/octave-6.4.0/etc/OLD-ChangeLogs/ |
H A D | scripts-ChangeLog | 13235 * statistics/tests/anova.m: Use mean (y(:)) to compute total_mean. 13283 * statistics/tests/anova.m: Compute total_mean as mean of all
|