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guava/src/com/google/common/math/StatsAccumulator.java
} /** * Returns the <a href="http://en.wikipedia.org/wiki/Variance#Sample_variance">unbiased sample * variance</a> of the values. If this dataset is a sample drawn from a population, this is an * unbiased estimator of the population variance of the population. The count must be greater than * one. * * <p>This is not guaranteed to return zero when the dataset consists of the same value multiple
Registered: Wed Jun 12 16:38:11 UTC 2024 - Last Modified: Fri May 12 17:02:53 UTC 2023 - 15.4K bytes - Viewed (0) -
guava/src/com/google/common/math/PairedStatsAccumulator.java
* R*R)} of the population standard deviation of {@code y}, where {@code R} is the Pearson's * correlation coefficient (as given by {@link #pearsonsCorrelationCoefficient()}). * * <p>The corresponding root-mean-square error in {@code x} as a function of {@code y} is a * fraction {@code sqrt(1/(R*R) - 1)} of the population standard deviation of {@code x}. This fit
Registered: Wed Jun 12 16:38:11 UTC 2024 - Last Modified: Fri May 12 17:02:53 UTC 2023 - 10.3K bytes - Viewed (0) -
guava/src/com/google/common/math/PairedStats.java
* R*R)} of the population standard deviation of {@code y}, where {@code R} is the Pearson's * correlation coefficient (as given by {@link #pearsonsCorrelationCoefficient()}). * * <p>The corresponding root-mean-square error in {@code x} as a function of {@code y} is a * fraction {@code sqrt(1/(R*R) - 1)} of the population standard deviation of {@code x}. This fit
Registered: Wed Jun 12 16:38:11 UTC 2024 - Last Modified: Fri May 12 17:02:53 UTC 2023 - 12.6K bytes - Viewed (0) -
android/guava/src/com/google/common/math/StatsAccumulator.java
} /** * Returns the <a href="http://en.wikipedia.org/wiki/Variance#Sample_variance">unbiased sample * variance</a> of the values. If this dataset is a sample drawn from a population, this is an * unbiased estimator of the population variance of the population. The count must be greater than * one. * * <p>This is not guaranteed to return zero when the dataset consists of the same value multiple
Registered: Wed Jun 12 16:38:11 UTC 2024 - Last Modified: Fri May 12 17:02:53 UTC 2023 - 14.2K bytes - Viewed (0) -
android/guava/src/com/google/common/math/PairedStatsAccumulator.java
* R*R)} of the population standard deviation of {@code y}, where {@code R} is the Pearson's * correlation coefficient (as given by {@link #pearsonsCorrelationCoefficient()}). * * <p>The corresponding root-mean-square error in {@code x} as a function of {@code y} is a * fraction {@code sqrt(1/(R*R) - 1)} of the population standard deviation of {@code x}. This fit
Registered: Wed Jun 12 16:38:11 UTC 2024 - Last Modified: Fri May 12 17:02:53 UTC 2023 - 10.3K bytes - Viewed (0) -
android/guava/src/com/google/common/math/DoubleMath.java
/** * Returns the <a href="http://en.wikipedia.org/wiki/Arithmetic_mean">arithmetic mean</a> of * {@code values}. * * <p>If these values are a sample drawn from a population, this is also an unbiased estimator of * the arithmetic mean of the population. * * @param values a nonempty series of values * @throws IllegalArgumentException if {@code values} is empty or contains any non-finite value
Registered: Wed Jun 12 16:38:11 UTC 2024 - Last Modified: Wed Feb 07 17:50:39 UTC 2024 - 18.9K bytes - Viewed (0) -
guava/src/com/google/common/math/DoubleMath.java
/** * Returns the <a href="http://en.wikipedia.org/wiki/Arithmetic_mean">arithmetic mean</a> of * {@code values}. * * <p>If these values are a sample drawn from a population, this is also an unbiased estimator of * the arithmetic mean of the population. * * @param values a nonempty series of values * @throws IllegalArgumentException if {@code values} is empty or contains any non-finite value
Registered: Wed Jun 12 16:38:11 UTC 2024 - Last Modified: Wed Feb 07 17:50:39 UTC 2024 - 18.9K bytes - Viewed (0) -
android/guava/src/com/google/common/math/PairedStats.java
* R*R)} of the population standard deviation of {@code y}, where {@code R} is the Pearson's * correlation coefficient (as given by {@link #pearsonsCorrelationCoefficient()}). * * <p>The corresponding root-mean-square error in {@code x} as a function of {@code y} is a * fraction {@code sqrt(1/(R*R) - 1)} of the population standard deviation of {@code x}. This fit
Registered: Wed Jun 12 16:38:11 UTC 2024 - Last Modified: Fri May 12 17:02:53 UTC 2023 - 12.6K bytes - Viewed (0) -
android/guava-tests/test/com/google/common/math/PairedStatsAccumulatorTest.java
if (values.hasAnyNonFinite()) { assertWithMessage("population covariance of " + values).that(populationCovariance).isNaN(); assertWithMessage("population covariance by addAll(PairedStats) of " + values) .that(populationCovarianceByAddAllPartitionedPairedStats) .isNaN(); } else { assertWithMessage("population covariance of " + values) .that(populationCovariance)
Registered: Wed Jun 12 16:38:11 UTC 2024 - Last Modified: Wed Sep 06 17:04:31 UTC 2023 - 23.4K bytes - Viewed (0) -
android/guava/src/com/google/common/math/Stats.java
} /** * Returns the <a href="http://en.wikipedia.org/wiki/Variance#Sample_variance">unbiased sample * variance</a> of the values. If this dataset is a sample drawn from a population, this is an * unbiased estimator of the population variance of the population. The count must be greater than * one. * * <p>This is not guaranteed to return zero when the dataset consists of the same value multiple
Registered: Wed Jun 12 16:38:11 UTC 2024 - Last Modified: Thu Feb 15 16:12:13 UTC 2024 - 22K bytes - Viewed (0)