| /dports/science/py-scipy/scipy-1.7.1/scipy/stats/ |
| H A D | _binomtest.py | 51 def proportion_ci(self, confidence_level=0.95, method='exact'): argument
103 if not (0 <= confidence_level <= 1):
108 confidence_level,
113 confidence_level,
131 def _binom_exact_conf_int(k, n, confidence_level, alternative): argument
138 alpha = (1 - confidence_level) / 2
148 alpha = 1 - confidence_level
155 alpha = 1 - confidence_level
164 def _binom_wilson_conf_int(k, n, confidence_level, alternative, correction): argument
170 z = ndtri(0.5 + 0.5*confidence_level)
[all …]
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| /dports/astro/py-astropy/astropy-5.0/astropy/stats/ |
| H A D | funcs.py | 90 def binom_conf_interval(k, n, confidence_level=0.68269, interval='wilson'): argument
253 if confidence_level < 0. or confidence_level > 1.:
255 alpha = 1. - confidence_level
318 confidence_level=0.68269, interval='wilson'): argument
491 bounds = binom_conf_interval(k, n, confidence_level=confidence_level, interval=interval)
497 def _check_poisson_conf_inputs(sigma, background, confidence_level, name): argument
502 if confidence_level is not None:
507 confidence_level=None): argument
755 if confidence_level is None:
758 confidence_level = np.asanyarray(confidence_level)
[all …]
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| H A D | jackknife.py | 55 def jackknife_stats(data, statistic, confidence_level=0.95): argument
146 if not (0 < confidence_level < 1):
173 z_score = np.sqrt(2.0)*erfinv(confidence_level)
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| /dports/misc/py-eemeter/eemeter-3.1.0/eemeter/ |
| H A D | metrics.py | 121 confidence_level,
156 self.confidence_level = confidence_level
268 confidence_level=0.90, argument
274 if (confidence_level <= 0) or (confidence_level >= 1):
360 self.confidence_level = confidence_level
364 self.single_tailed_confidence_level = 1 - ((1 - self.confidence_level) / 2)
421 round(self.confidence_level, 3),
458 "confidence_level": _json_safe_float(self.confidence_level),
509 confidence_level=data.get("confidence_level"),
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| H A D | derivatives.py | 87 totals_metrics, results, interval, confidence_level argument
98 single_tailed_confidence_level = 1 - ((1 - confidence_level) / 2)
161 confidence_level=0.90, argument
268 confidence_level,
279 confidence_level, argument
303 single_tailed_confidence_level = 1 - ((1 - confidence_level) / 2)
387 confidence_level=0.90, argument
533 confidence_level,
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| /dports/devel/stylua/StyLua-0.11.0/cargo-crates/criterion-0.3.5/src/stats/ |
| H A D | mod.rs | 42 pub fn confidence_interval(&self, confidence_level: A) -> (A, A) in confidence_interval()
50 assert!(confidence_level > _0 && confidence_level < _1); in confidence_interval()
56 percentiles.at(_50 * (_1 - confidence_level)), in confidence_interval()
57 percentiles.at(_50 * (_1 + confidence_level)), in confidence_interval()
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| /dports/multimedia/librav1e/rav1e-0.5.1/cargo-crates/criterion-0.3.5/src/stats/ |
| H A D | mod.rs | 42 pub fn confidence_interval(&self, confidence_level: A) -> (A, A) in confidence_interval()
50 assert!(confidence_level > _0 && confidence_level < _1); in confidence_interval()
56 percentiles.at(_50 * (_1 - confidence_level)), in confidence_interval()
57 percentiles.at(_50 * (_1 + confidence_level)), in confidence_interval()
|
| /dports/multimedia/rav1e/rav1e-0.5.1/cargo-crates/criterion-0.3.5/src/stats/ |
| H A D | mod.rs | 42 pub fn confidence_interval(&self, confidence_level: A) -> (A, A) in confidence_interval()
50 assert!(confidence_level > _0 && confidence_level < _1); in confidence_interval()
56 percentiles.at(_50 * (_1 - confidence_level)), in confidence_interval()
57 percentiles.at(_50 * (_1 + confidence_level)), in confidence_interval()
|
| /dports/net-im/zkgroup/zkgroup-0.7.4/cargo-crates/criterion-0.3.4/src/stats/ |
| H A D | mod.rs | 42 pub fn confidence_interval(&self, confidence_level: A) -> (A, A) in confidence_interval()
50 assert!(confidence_level > _0 && confidence_level < _1); in confidence_interval()
56 percentiles.at(_50 * (_1 - confidence_level)), in confidence_interval()
57 percentiles.at(_50 * (_1 + confidence_level)), in confidence_interval()
|
| /dports/net-im/libsignal-client/libsignal-client-0.9.6/cargo-crates/criterion-0.3.4/src/stats/ |
| H A D | mod.rs | 42 pub fn confidence_interval(&self, confidence_level: A) -> (A, A) in confidence_interval()
50 assert!(confidence_level > _0 && confidence_level < _1); in confidence_interval()
56 percentiles.at(_50 * (_1 - confidence_level)), in confidence_interval()
57 percentiles.at(_50 * (_1 + confidence_level)), in confidence_interval()
|
| /dports/graphics/librsvg2-rust/librsvg-2.52.8/vendor/criterion/src/stats/ |
| H A D | mod.rs | 42 pub fn confidence_interval(&self, confidence_level: A) -> (A, A) in confidence_interval()
50 assert!(confidence_level > _0 && confidence_level < _1); in confidence_interval()
56 percentiles.at(_50 * (_1 - confidence_level)), in confidence_interval()
57 percentiles.at(_50 * (_1 + confidence_level)), in confidence_interval()
|
| /dports/textproc/angle-grinder/angle-grinder-0.18.0/cargo-crates/criterion-0.3.4/src/stats/ |
| H A D | mod.rs | 42 pub fn confidence_interval(&self, confidence_level: A) -> (A, A) in confidence_interval()
50 assert!(confidence_level > _0 && confidence_level < _1); in confidence_interval()
56 percentiles.at(_50 * (_1 - confidence_level)), in confidence_interval()
57 percentiles.at(_50 * (_1 + confidence_level)), in confidence_interval()
|
| /dports/sysutils/vector/vector-0.10.0/cargo-crates/criterion-0.3.2/src/stats/ |
| H A D | mod.rs | 41 pub fn confidence_interval(&self, confidence_level: A) -> (A, A) in confidence_interval()
49 assert!(confidence_level > _0 && confidence_level < _1); in confidence_interval()
55 percentiles.at(_50 * (_1 - confidence_level)), in confidence_interval()
56 percentiles.at(_50 * (_1 + confidence_level)), in confidence_interval()
|
| /dports/shells/ion/ion-a8872014dbce730ccd00aaa722397dc394a52bf4/cargo-crates/criterion-0.2.11/src/stats/ |
| H A D | mod.rs | 42 pub fn confidence_interval(&self, confidence_level: A) -> (A, A) in confidence_interval()
50 assert!(confidence_level > _0 && confidence_level < _1); in confidence_interval()
56 percentiles.at(_50 * (_1 - confidence_level)), in confidence_interval()
57 percentiles.at(_50 * (_1 + confidence_level)), in confidence_interval()
|
| /dports/misc/xplr/xplr-0.17.0/cargo-crates/criterion-0.3.5/src/stats/ |
| H A D | mod.rs | 42 pub fn confidence_interval(&self, confidence_level: A) -> (A, A) in confidence_interval()
50 assert!(confidence_level > _0 && confidence_level < _1); in confidence_interval()
56 percentiles.at(_50 * (_1 - confidence_level)), in confidence_interval()
57 percentiles.at(_50 * (_1 + confidence_level)), in confidence_interval()
|
| /dports/textproc/jql/jql-3.0.6/cargo-crates/criterion-0.3.5/src/stats/ |
| H A D | mod.rs | 42 pub fn confidence_interval(&self, confidence_level: A) -> (A, A) in confidence_interval()
50 assert!(confidence_level > _0 && confidence_level < _1); in confidence_interval()
56 percentiles.at(_50 * (_1 - confidence_level)), in confidence_interval()
57 percentiles.at(_50 * (_1 + confidence_level)), in confidence_interval()
|
| /dports/graphics/pastel/pastel-0.8.1/cargo-crates/criterion-0.3.4/src/stats/ |
| H A D | mod.rs | 42 pub fn confidence_interval(&self, confidence_level: A) -> (A, A) in confidence_interval()
50 assert!(confidence_level > _0 && confidence_level < _1); in confidence_interval()
56 percentiles.at(_50 * (_1 - confidence_level)), in confidence_interval()
57 percentiles.at(_50 * (_1 + confidence_level)), in confidence_interval()
|
| /dports/benchmarks/inferno/inferno-0.10.9/cargo-crates/criterion-0.3.5/src/stats/ |
| H A D | mod.rs | 42 pub fn confidence_interval(&self, confidence_level: A) -> (A, A) in confidence_interval()
50 assert!(confidence_level > _0 && confidence_level < _1); in confidence_interval()
56 percentiles.at(_50 * (_1 - confidence_level)), in confidence_interval()
57 percentiles.at(_50 * (_1 + confidence_level)), in confidence_interval()
|
| /dports/math/e-antic/Catch2-ff349a5/include/internal/benchmark/detail/ |
| H A D | catch_stats.hpp | 108 …Estimate<double> bootstrap(double confidence_level, Iterator first, Iterator last, sample const& r… in bootstrap() argument
113 if (n_samples == 1) return { point, point, point, confidence_level }; in bootstrap()
129 if (prob_n == 0) return { point, point, point, confidence_level }; in bootstrap()
132 double z1 = normal_quantile((1. - confidence_level) / 2.); in bootstrap()
144 return { point, resample[lo], resample[hi], confidence_level }; in bootstrap()
155 …bootstrap_analysis analyse_samples(double confidence_level, int n_resamples, std::vector<double>::…
|
| /dports/math/e-antic/e-antic-1.0.0-rc.13/libeantic/test/external/catch2/include/internal/benchmark/detail/ |
| H A D | catch_stats.hpp | 108 …Estimate<double> bootstrap(double confidence_level, Iterator first, Iterator last, sample const& r… in bootstrap() argument
113 if (n_samples == 1) return { point, point, point, confidence_level }; in bootstrap()
129 if (prob_n == 0) return { point, point, point, confidence_level }; in bootstrap()
132 double z1 = normal_quantile((1. - confidence_level) / 2.); in bootstrap()
144 return { point, resample[lo], resample[hi], confidence_level }; in bootstrap()
155 …bootstrap_analysis analyse_samples(double confidence_level, int n_resamples, std::vector<double>::…
|
| /dports/www/restbed/restbed-4.8/dependency/catch/include/internal/benchmark/detail/ |
| H A D | catch_stats.hpp | 106 …Estimate<double> bootstrap(double confidence_level, Iterator first, Iterator last, sample const& r… in bootstrap() argument
111 if (n_samples == 1) return { point, point, point, confidence_level }; in bootstrap()
127 if (prob_n == 0) return { point, point, point, confidence_level }; in bootstrap()
130 double z1 = normal_quantile((1. - confidence_level) / 2.); in bootstrap()
142 return { point, resample[lo], resample[hi], confidence_level }; in bootstrap()
153 …bootstrap_analysis analyse_samples(double confidence_level, int n_resamples, std::vector<double>::…
|
| /dports/emulators/citra/citra-ac98458e0/externals/catch/include/internal/benchmark/detail/ |
| H A D | catch_stats.hpp | 108 …Estimate<double> bootstrap(double confidence_level, Iterator first, Iterator last, sample const& r… in bootstrap() argument
113 if (n_samples == 1) return { point, point, point, confidence_level }; in bootstrap()
129 if (prob_n == 0) return { point, point, point, confidence_level }; in bootstrap()
132 double z1 = normal_quantile((1. - confidence_level) / 2.); in bootstrap()
144 return { point, resample[lo], resample[hi], confidence_level }; in bootstrap()
155 …bootstrap_analysis analyse_samples(double confidence_level, int n_resamples, std::vector<double>::…
|
| /dports/emulators/citra-qt5/citra-ac98458e0/externals/catch/include/internal/benchmark/detail/ |
| H A D | catch_stats.hpp | 108 …Estimate<double> bootstrap(double confidence_level, Iterator first, Iterator last, sample const& r… in bootstrap() argument
113 if (n_samples == 1) return { point, point, point, confidence_level }; in bootstrap()
129 if (prob_n == 0) return { point, point, point, confidence_level }; in bootstrap()
132 double z1 = normal_quantile((1. - confidence_level) / 2.); in bootstrap()
144 return { point, resample[lo], resample[hi], confidence_level }; in bootstrap()
155 …bootstrap_analysis analyse_samples(double confidence_level, int n_resamples, std::vector<double>::…
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| /dports/devel/catch/Catch2-2.13.7/include/internal/benchmark/detail/ |
| H A D | catch_stats.hpp | 108 …Estimate<double> bootstrap(double confidence_level, Iterator first, Iterator last, sample const& r… in bootstrap() argument
113 if (n_samples == 1) return { point, point, point, confidence_level }; in bootstrap()
129 if (prob_n == 0) return { point, point, point, confidence_level }; in bootstrap()
132 double z1 = normal_quantile((1. - confidence_level) / 2.); in bootstrap()
144 return { point, resample[lo], resample[hi], confidence_level }; in bootstrap()
155 …bootstrap_analysis analyse_samples(double confidence_level, int n_resamples, std::vector<double>::…
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| /dports/astro/py-astropy/astropy-5.0/astropy/stats/tests/ |
| H A D | test_funcs.py | 151 result = np.array([funcs.binom_conf_interval(kval, n, confidence_level=conf,
157 result = funcs.binom_conf_interval(k, n, confidence_level=conf, interval='flat')
167 result = funcs.binom_conf_interval(500, 1000, confidence_level=0.68269,
228 funcs.binned_binom_proportion([0], [1, 2], confidence_level=0.75)
587 confidence_level=[.99, .9])
636 confidence_level=[2.5, 2.])
647 confidence_level=99)
656 confidence_level=.99)
660 background=2.5, confidence_level=.99)
665 confidence_level=[.99, .9])
[all …]
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