| /prebuilts/gcc/linux-x86/host/x86_64-w64-mingw32-4.8/x86_64-w64-mingw32/include/ |
| ndhelper.h | 26 } HYPOTHESIS, *PHYPOTHESIS;
82 STDMETHOD_(HRESULT,GetDownStreamHypotheses)(THIS_ ULONG *pcelt,HYPOTHESIS **pprgHypotheses) PURE;
83 STDMETHOD_(HRESULT,GetHigherHypotheses)(THIS_ ULONG *pcelt,HYPOTHESIS **pprgHypotheses) PURE;
86 STDMETHOD_(HRESULT,GetLowerHypotheses)(THIS_ ULONG *pcelt,HYPOTHESIS **pprgHypotheses) PURE;
88 STDMETHOD_(HRESULT,GetUpStreamHypotheses)(THIS_ ULONG *pcelt,HYPOTHESIS **pprgHypotheses) PURE;
124 HYPOTHESIS hypothesis; member in struct:tagHypothesisResult
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| /tools/test/connectivity/acts/ |
| .gitignore | 46 .hypothesis/
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| /external/apache-commons-math/src/main/java/org/apache/commons/math/stat/inference/ |
| ChiSquareTest.java | 35 * This statistic can be used to perform a Chi-Square test evaluating the null hypothesis that
66 * the null hypothesis that the observed counts conform to the frequency distribution
91 * Chi-square goodness of fit test</a> evaluating the null hypothesis that the observed counts
93 * significance level <code>alpha</code>. Returns true iff the null hypothesis can be rejected
97 * To test the hypothesis that <code>observed</code> follows
116 * @return true iff null hypothesis can be rejected with confidence
186 * chi-square test of independence</a> evaluating the null hypothesis that the classifications
188 * with significance level <code>alpha</code>. Returns true iff the null hypothesis can be rejected
195 * To test the null hypothesis that the counts in
214 * @return true iff null hypothesis can be rejected with confidenc
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| TTestImpl.java | 100 * at which one can reject the null hypothesis that the mean of the paired
136 * Performs a paired t-test evaluating the null hypothesis that the
142 * Returns <code>true</code> iff the null hypothesis can be rejected with
162 * @return true if the null hypothesis can be rejected with
219 * Computes a 2-sample t statistic, under the hypothesis of equal
221 * equal variances hypothesis, use {@link #t(double[], double[])}.
261 * Computes a 2-sample t statistic, without the hypothesis of equal
389 * at which one can reject the null hypothesis that the mean equals
418 * two-sided t-test</a> evaluating the null hypothesis that the mean of the population from
421 * Returns <code>true</code> iff the null hypothesis can b
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| TTest.java | 76 * at which one can reject the null hypothesis that the mean of the paired
106 * Performs a paired t-test evaluating the null hypothesis that the
112 * Returns <code>true</code> iff the null hypothesis can be rejected with
132 * @return true if the null hypothesis can be rejected with
178 * Computes a 2-sample t statistic, under the hypothesis of equal
180 * equal variances hypothesis, use {@link #t(double[], double[])}.
213 * Computes a 2-sample t statistic, without the hypothesis of equal
322 * at which one can reject the null hypothesis that the mean equals
346 * two-sided t-test</a> evaluating the null hypothesis that the mean of the population from
349 * Returns <code>true</code> iff the null hypothesis can b
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| package.html | 20 Classes providing hypothesis testing and confidence interval
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| UnknownDistributionChiSquareTest.java | 43 * <p>This statistic can be used to perform a Chi-Square test evaluating the null hypothesis that
75 * can reject the null hypothesis that the observed counts conform to the
108 * sets. The test evaluates the null hypothesis that the two lists of
111 * hypothesis can be rejected with 100 * (1 - alpha) percent confidence.
136 * @return true iff null hypothesis can be rejected with confidence
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| OneWayAnova.java | 79 * Performs an ANOVA test, evaluating the null hypothesis that there
94 * @return true if the null hypothesis can be rejected with
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| ChiSquareTestImpl.java | 131 * @return true iff null hypothesis can be rejected with confidence
199 * @return true iff null hypothesis can be rejected with confidence
304 * @return true iff null hypothesis can be rejected with confidence
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| /external/chromium-trace/catapult/experimental/statistical_analysis/ |
| compare_benchmark_results.py | 6 """Calculates statistical hypothesis test for given benchmark results.
104 given paths, run the specified statistical hypothesis test on the results and
122 Default: {}, which is common in statistical hypothesis
128 help="""Specifies the statistical hypothesis test that is
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| results_stats.py | 5 """Statistical hypothesis testing for comparing benchmark results."""
160 The tests the p-values result from must test the same null hypothesis and be
209 The null hypothesis for each test is that the two populations that the
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| /external/webrtc/webrtc/modules/remote_bitrate_estimator/ |
| overuse_estimator.h | 28 // |current_hypothesis| should be the hypothesis of the over-use detector at
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| /external/opencv3/modules/videostab/src/ |
| outlier_rejection.cpp | 118 // find the best hypothesis
149 // get the best hypothesis inliers
164 // refine the best hypothesis
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| /external/opencv3/modules/cudalegacy/src/ |
| calib3d.cpp | 165 // Input data for generation of the current hypothesis
170 // Current hypothesis data
243 // Compute scores (i.e. number of inliers) for each hypothesis
252 // Find the best hypothesis index
258 // Extract the best hypothesis data
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| /ndk/sources/cxx-stl/stlport/stlport/stl/ |
| _string_io.c | 35 // The hypothesis of this implementation is that size_type is unsigned:
74 // The hypothesis of this implementation is that size_type is unsigned:
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| /prebuilts/ndk/current/sources/cxx-stl/stlport/stlport/stl/ |
| _string_io.c | 35 // The hypothesis of this implementation is that size_type is unsigned:
74 // The hypothesis of this implementation is that size_type is unsigned:
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| /external/chromium-trace/catapult/dashboard/dashboard/ |
| ttest.py | 7 > A t-test is any statistical hypothesis test in which the test statistic
8 > follows a Student's t distribution if the null hypothesis is supported.
222 as extreme as the one observed just by chance (the null hypothesis).
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| /development/perftests/panorama/feature_stab/db_vlvm/ |
| db_rob_image_homography.h | 84 \param nr_samples number of times to compute a hypothesis
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| db_rob_image_homography.cpp | 247 /*Come up with a hypothesis dx
591 /*Come up with a hypothesis dx
679 /*Hypothesis pointer*/
683 /*Pivot for hypothesis pruning*/
685 /*Best hypothesis position*/
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| /packages/apps/LegacyCamera/jni/feature_stab/db_vlvm/ |
| db_rob_image_homography.h | 84 \param nr_samples number of times to compute a hypothesis
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| db_rob_image_homography.cpp | 247 /*Come up with a hypothesis dx
591 /*Come up with a hypothesis dx
679 /*Hypothesis pointer*/
683 /*Pivot for hypothesis pruning*/
685 /*Best hypothesis position*/
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| /frameworks/av/media/libstagefright/codecs/m4v_h263/enc/src/ |
| sad.cpp | 72 Hypothesis Testing Fast Matching to be used later!
98 uniform subsampling and hypothesis testing fast matching
308 Hypothesis Testing Fast Matching to be used later!
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| mp4def.h | 86 #define HTFM /* 3/2/01, Hypothesis Test Fast Matching for early drop-out*/
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| /frameworks/av/media/libstagefright/codecs/avc/enc/src/ |
| sad.cpp | 56 Hypothesis Testing Fast Matching to be used later!
82 uniform subsampling and hypothesis testing fast matching
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| /external/opencv3/samples/cpp/ |
| videostab.cpp | 81 " Number of random samples per one motion hypothesis. The default is auto.\n"
85 " Motion estimation outlier ratio hypothesis. The default is 0.5.\n"
148 " Number of random samples per one motion hypothesis. The default is auto.\n"
152 " Motion estimation outlier ratio hypothesis. The default is 0.5.\n"
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