| /external/apache-commons-math/src/main/java/org/apache/commons/math/stat/descriptive/moment/ |
| D | Variance.java | 68 public class Variance extends AbstractStorelessUnivariateStatistic implements Serializable, Weighte… class
94 public Variance() { in Variance() method in Variance
104 public Variance(final SecondMoment m2) { in Variance() method in Variance
117 public Variance(boolean isBiasCorrected) { in Variance() method in Variance
131 public Variance(boolean isBiasCorrected, SecondMoment m2) { in Variance() method in Variance
143 public Variance(Variance original) { in Variance() method in Variance
586 public Variance copy() { in copy()
587 Variance result = new Variance(); in copy()
600 public static void copy(Variance source, Variance dest) { in copy()
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| D | StandardDeviation.java | 48 private Variance variance = null;
55 variance = new Variance(); in StandardDeviation()
64 variance = new Variance(m2); in StandardDeviation()
88 variance = new Variance(isBiasCorrected); in StandardDeviation()
103 variance = new Variance(isBiasCorrected, m2); in StandardDeviation()
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| D | Kurtosis.java | 171 Variance variance = new Variance(); in evaluate()
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| /external/webrtc/rtc_base/numerics/ |
| D | sample_stats.cc | 42 double SampleStats<double>::Variance() { in Variance() function in webrtc::SampleStats
49 return sqrt(Variance()); in StandardDeviation()
92 TimeDelta SampleStats<TimeDelta>::Variance() { in Variance() function in webrtc::SampleStats
93 return TimeDelta::Seconds(stats_.Variance()); in Variance()
140 DataRate SampleStats<DataRate>::Variance() { in Variance() function in webrtc::SampleStats
141 return DataRate::BitsPerSec(stats_.Variance()); in Variance()
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| D | sample_stats.h | 31 double Variance();
48 TimeDelta Variance();
68 DataRate Variance();
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| D | sample_counter_unittest.cc | 57 EXPECT_THAT(counter.Variance(kMinSamples), Eq(2)); in TEST()
72 EXPECT_THAT(counter1.Variance(kMinSamples), Eq(absl::nullopt)); in TEST()
77 EXPECT_THAT(counter1.Variance(kMinSamples), Eq(2)); in TEST()
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| D | sample_counter.h | 47 absl::optional<int64_t> Variance(int64_t min_required_samples) const;
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| D | sample_counter.cc | 79 absl::optional<int64_t> SampleCounterWithVariance::Variance( in Variance() function in rtc::SampleCounterWithVariance
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| /external/rappor/apps/rappor-analysis/ |
| D | test.csv | 8 4 Explained Variance 0.000
9 5 Missing Variance 0.988
10 6 Noise Variance 0.012
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| /external/tensorflow/tensorflow/java/src/test/java/org/tensorflow/op/ |
| D | ScopeTest.java | 160 Variance<Integer> var1 = Variance.create(s.withName("example"), data, Integer.class); in composite()
169 Variance<Integer> var2 = Variance.create(s, data, Integer.class); in composite()
295 private static final class Variance<T> { class in ScopeTest
298 static <T> Variance<T> create(Scope base, Output<T> x, Class<T> type) { in create()
306 return new Variance<T>(Mean.create(s.withName("variance"), sqdiff, zero).output()); in create()
309 Variance(Output<T> o) { in Variance() method in ScopeTest.Variance
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| /external/kotlinpoet/interop/ksp/src/main/kotlin/com/squareup/kotlinpoet/ksp/ |
| D | KsTypes.kt | 25 import com.google.devtools.ksp.symbol.Variance in <lambda>()
26 import com.google.devtools.ksp.symbol.Variance.CONTRAVARIANT in <lambda>()
27 import com.google.devtools.ksp.symbol.Variance.COVARIANT in <lambda>()
28 import com.google.devtools.ksp.symbol.Variance.INVARIANT in <lambda>()
173 Variance.STAR -> STAR in toTypeName()
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| /external/apache-commons-math/src/main/java/org/apache/commons/math/stat/descriptive/ |
| D | SummaryStatistics.java | 26 import org.apache.commons.math.stat.descriptive.moment.Variance;
92 protected Variance variance = new Variance();
159 if (!(varianceImpl instanceof Variance)) { in addValue()
238 return new Variance(secondMoment).getResult(); in getVariance()
702 dest.variance = (Variance) dest.varianceImpl; in copy()
704 Variance.copy(source.variance, dest.variance); in copy()
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| D | DescriptiveStatistics.java | 29 import org.apache.commons.math.stat.descriptive.moment.Variance;
103 private UnivariateStatistic varianceImpl = new Variance();
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| /external/apache-commons-math/src/main/java/org/apache/commons/math/stat/correlation/ |
| D | Covariance.java | 24 import org.apache.commons.math.stat.descriptive.moment.Variance;
162 Variance variance = new Variance(biasCorrected); in computeCovarianceMatrix()
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| /external/webrtc/third_party/abseil-cpp/absl/random/ |
| D | beta_distribution_test.cc | 261 double Variance() const { in Variance() function in __anond5a395030111::BetaDistributionModel
315 const double mean_stddev = std::sqrt(Variance() / static_cast<double>(m.n)); in SingleZTestOnMeanAndVariance()
320 (Kurtosis() - 1) * Variance() * Variance() / static_cast<double>(m.n)); in SingleZTestOnMeanAndVariance()
322 const double z_variance = (m.variance - Variance()) / variance_stddev; in SingleZTestOnMeanAndVariance()
337 std::abs(m.mean - Mean()) / mean_stddev, m.variance, Variance(), in SingleZTestOnMeanAndVariance()
338 std::abs(m.variance - Variance()) / variance_stddev)); in SingleZTestOnMeanAndVariance()
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| /external/cronet/third_party/abseil-cpp/absl/random/ |
| D | beta_distribution_test.cc | 261 double Variance() const { in Variance() function in __anon312133870111::BetaDistributionModel
315 const double mean_stddev = std::sqrt(Variance() / static_cast<double>(m.n)); in SingleZTestOnMeanAndVariance()
320 (Kurtosis() - 1) * Variance() * Variance() / static_cast<double>(m.n)); in SingleZTestOnMeanAndVariance()
322 const double z_variance = (m.variance - Variance()) / variance_stddev; in SingleZTestOnMeanAndVariance()
337 std::abs(m.mean - Mean()) / mean_stddev, m.variance, Variance(), in SingleZTestOnMeanAndVariance()
338 std::abs(m.variance - Variance()) / variance_stddev)); in SingleZTestOnMeanAndVariance()
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| /external/angle/third_party/abseil-cpp/absl/random/ |
| D | beta_distribution_test.cc | 261 double Variance() const { in Variance() function in __anon83daf2230111::BetaDistributionModel
315 const double mean_stddev = std::sqrt(Variance() / static_cast<double>(m.n)); in SingleZTestOnMeanAndVariance()
320 (Kurtosis() - 1) * Variance() * Variance() / static_cast<double>(m.n)); in SingleZTestOnMeanAndVariance()
322 const double z_variance = (m.variance - Variance()) / variance_stddev; in SingleZTestOnMeanAndVariance()
334 << Variance() << ", which is " in SingleZTestOnMeanAndVariance()
335 << std::abs(m.variance - Variance()) / variance_stddev in SingleZTestOnMeanAndVariance()
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| /external/abseil-cpp/absl/random/ |
| D | beta_distribution_test.cc | 261 double Variance() const { in Variance() function in __anon5c4016f40111::BetaDistributionModel
315 const double mean_stddev = std::sqrt(Variance() / static_cast<double>(m.n)); in SingleZTestOnMeanAndVariance()
320 (Kurtosis() - 1) * Variance() * Variance() / static_cast<double>(m.n)); in SingleZTestOnMeanAndVariance()
322 const double z_variance = (m.variance - Variance()) / variance_stddev; in SingleZTestOnMeanAndVariance()
337 std::abs(m.mean - Mean()) / mean_stddev, m.variance, Variance(), in SingleZTestOnMeanAndVariance()
338 std::abs(m.variance - Variance()) / variance_stddev)); in SingleZTestOnMeanAndVariance()
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| /external/rust/crates/grpcio-sys/grpc/third_party/abseil-cpp/absl/random/ |
| D | beta_distribution_test.cc | 250 double Variance() const { in Variance() function in __anonfba1e2f50111::BetaDistributionModel
304 const double mean_stddev = std::sqrt(Variance() / static_cast<double>(m.n)); in SingleZTestOnMeanAndVariance()
309 (Kurtosis() - 1) * Variance() * Variance() / static_cast<double>(m.n)); in SingleZTestOnMeanAndVariance()
311 const double z_variance = (m.variance - Variance()) / variance_stddev; in SingleZTestOnMeanAndVariance()
326 std::abs(m.mean - Mean()) / mean_stddev, m.variance, Variance(), in SingleZTestOnMeanAndVariance()
327 std::abs(m.variance - Variance()) / variance_stddev)); in SingleZTestOnMeanAndVariance()
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| /external/tensorflow/third_party/absl/abseil-cpp/absl/random/ |
| D | beta_distribution_test.cc | 261 double Variance() const { in Variance() function in __anonc392b6200111::BetaDistributionModel
315 const double mean_stddev = std::sqrt(Variance() / static_cast<double>(m.n)); in SingleZTestOnMeanAndVariance()
320 (Kurtosis() - 1) * Variance() * Variance() / static_cast<double>(m.n)); in SingleZTestOnMeanAndVariance()
322 const double z_variance = (m.variance - Variance()) / variance_stddev; in SingleZTestOnMeanAndVariance()
337 std::abs(m.mean - Mean()) / mean_stddev, m.variance, Variance(), in SingleZTestOnMeanAndVariance()
338 std::abs(m.variance - Variance()) / variance_stddev)); in SingleZTestOnMeanAndVariance()
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| /external/libtextclassifier/abseil-cpp/absl/random/ |
| D | beta_distribution_test.cc | 268 double Variance() const { in Variance() function in __anondee8da440111::BetaDistributionModel
322 const double mean_stddev = std::sqrt(Variance() / static_cast<double>(m.n)); in SingleZTestOnMeanAndVariance()
327 (Kurtosis() - 1) * Variance() * Variance() / static_cast<double>(m.n)); in SingleZTestOnMeanAndVariance()
329 const double z_variance = (m.variance - Variance()) / variance_stddev; in SingleZTestOnMeanAndVariance()
344 std::abs(m.mean - Mean()) / mean_stddev, m.variance, Variance(), in SingleZTestOnMeanAndVariance()
345 std::abs(m.variance - Variance()) / variance_stddev)); in SingleZTestOnMeanAndVariance()
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| /external/openscreen/third_party/abseil/src/absl/random/ |
| D | beta_distribution_test.cc | 268 double Variance() const { in Variance() function in __anon3ab0e4f50111::BetaDistributionModel
322 const double mean_stddev = std::sqrt(Variance() / static_cast<double>(m.n)); in SingleZTestOnMeanAndVariance()
327 (Kurtosis() - 1) * Variance() * Variance() / static_cast<double>(m.n)); in SingleZTestOnMeanAndVariance()
329 const double z_variance = (m.variance - Variance()) / variance_stddev; in SingleZTestOnMeanAndVariance()
344 std::abs(m.mean - Mean()) / mean_stddev, m.variance, Variance(), in SingleZTestOnMeanAndVariance()
345 std::abs(m.variance - Variance()) / variance_stddev)); in SingleZTestOnMeanAndVariance()
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| /external/apache-commons-math/src/main/java/org/apache/commons/math/stat/ |
| D | StatUtils.java | 25 import org.apache.commons.math.stat.descriptive.moment.Variance;
64 private static final Variance VARIANCE = new Variance();
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| /external/apache-commons-math/src/main/java/org/apache/commons/math/stat/clustering/ |
| D | KMeansPlusPlusClusterer.java | 27 import org.apache.commons.math.stat.descriptive.moment.Variance;
215 final Variance stat = new Variance(); in getPointFromLargestVarianceCluster()
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| /external/apache-commons-math/src/main/java/org/apache/commons/math/stat/regression/ |
| D | AbstractMultipleLinearRegression.java | 25 import org.apache.commons.math.stat.descriptive.moment.Variance;
331 return new Variance().evaluate(Y.getData()); in calculateYVariance()
|