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Results 1 - 8 of 8 for populationCovariance (0.18 sec)

  2. github.com/google/guava

    android/guava-tests/test/com/google/common/math/PairedStatsAccumulatorTest.java 

        assertThrows(IllegalStateException.class, () -> emptyAccumulator.populationCovariance());
    assertThrows(
        IllegalStateException.class,
        () -> emptyAccumulatorByAddAllEmptyPairedStats.populationCovariance());
    assertThat(oneValueAccumulator.populationCovariance()).isEqualTo(0.0);
    assertThat(oneValueAccumulatorByAddAllEmptyPairedStats.populationCovariance()).isEqualTo(0.0);
    Registered: Fri Nov 01 12:43:10 UTC 2024
    - Last Modified: Wed Jul 03 21:17:33 UTC 2024
    - 23.3K bytes
    - Viewed (0)
  3. github.com/google/guava

    guava-tests/test/com/google/common/math/PairedStatsAccumulatorTest.java 

        assertThrows(IllegalStateException.class, () -> emptyAccumulator.populationCovariance());
    assertThrows(
        IllegalStateException.class,
        () -> emptyAccumulatorByAddAllEmptyPairedStats.populationCovariance());
    assertThat(oneValueAccumulator.populationCovariance()).isEqualTo(0.0);
    assertThat(oneValueAccumulatorByAddAllEmptyPairedStats.populationCovariance()).isEqualTo(0.0);
    Registered: Fri Nov 01 12:43:10 UTC 2024
    - Last Modified: Wed Jul 03 21:17:33 UTC 2024
    - 23.3K bytes
    - Viewed (0)
  4. github.com/google/guava

    guava-tests/test/com/google/common/math/PairedStatsTest.java 

        assertThat(ONE_VALUE_PAIRED_STATS.populationCovariance()).isEqualTo(0.0);
    assertThat(createSingleStats(Double.POSITIVE_INFINITY, 1.23).populationCovariance()).isNaN();
    assertThat(createSingleStats(Double.NEGATIVE_INFINITY, 1.23).populationCovariance()).isNaN();
    assertThat(createSingleStats(Double.NaN, 1.23).populationCovariance()).isNaN();
    Registered: Fri Nov 01 12:43:10 UTC 2024
    - Last Modified: Wed Jul 03 21:17:33 UTC 2024
    - 14K bytes
    - Viewed (0)
  5. github.com/google/guava

    guava-tests/test/com/google/common/math/StatsTest.java 

        assertThrows(IllegalStateException.class, () -> EMPTY_STATS_VARARGS.populationVariance());
    assertThrows(IllegalStateException.class, () -> EMPTY_STATS_ITERABLE.populationVariance());
    assertThat(ONE_VALUE_STATS.populationVariance()).isEqualTo(0.0);
    assertThat(Stats.of(POSITIVE_INFINITY).populationVariance()).isNaN();
    assertThat(Stats.of(NEGATIVE_INFINITY).populationVariance()).isNaN();
    assertThat(Stats.of(NaN).populationVariance()).isNaN();
    Registered: Fri Nov 01 12:43:10 UTC 2024
    - Last Modified: Wed Oct 23 16:45:30 UTC 2024
    - 33.3K bytes
    - Viewed (0)
  6. github.com/google/guava

    android/guava-tests/test/com/google/common/math/StatsAccumulatorTest.java 

        assertThrows(IllegalStateException.class, () -> emptyAccumulator.populationVariance());
    assertThrows(
        IllegalStateException.class,
        () -> emptyAccumulatorByAddAllEmptyIterable.populationVariance());
    assertThrows(
        IllegalStateException.class, () -> emptyAccumulatorByAddAllEmptyStats.populationVariance());
    assertThat(oneValueAccumulator.populationVariance()).isEqualTo(0.0);
    Registered: Fri Nov 01 12:43:10 UTC 2024
    - Last Modified: Wed Oct 23 16:45:30 UTC 2024
    - 36.8K bytes
    - Viewed (0)
  7. github.com/google/guava

    guava-tests/test/com/google/common/math/StatsAccumulatorTest.java 

        assertThrows(IllegalStateException.class, () -> emptyAccumulator.populationVariance());
    assertThrows(
        IllegalStateException.class,
        () -> emptyAccumulatorByAddAllEmptyIterable.populationVariance());
    assertThrows(
        IllegalStateException.class, () -> emptyAccumulatorByAddAllEmptyStats.populationVariance());
    assertThat(oneValueAccumulator.populationVariance()).isEqualTo(0.0);
    Registered: Fri Nov 01 12:43:10 UTC 2024
    - Last Modified: Wed Oct 23 16:45:30 UTC 2024
    - 36.8K bytes
    - Viewed (0)
  8. github.com/google/guava

    android/guava/src/com/google/common/math/StatsAccumulator.java 

       */
  public final double sum() {
    return mean * count;
  }

  /**
   * Returns the <a href="http://en.wikipedia.org/wiki/Variance#Population_variance">population
   * variance</a> of the values. The count must be non-zero.
   *
   * <p>This is guaranteed to return zero if the dataset contains only exactly one finite value. It
    Registered: Fri Nov 01 12:43:10 UTC 2024
    - Last Modified: Wed Oct 23 16:45:30 UTC 2024
    - 15.8K bytes
    - Viewed (0)
  9. github.com/google/guava

    guava/src/com/google/common/math/Stats.java 

       */
  public double sum() {
    return mean * count;
  }

  /**
   * Returns the <a href="http://en.wikipedia.org/wiki/Variance#Population_variance">population
   * variance</a> of the values. The count must be non-zero.
   *
   * <p>This is guaranteed to return zero if the dataset contains only exactly one finite value. It
    Registered: Fri Nov 01 12:43:10 UTC 2024
    - Last Modified: Wed Oct 23 16:45:30 UTC 2024
    - 24.9K bytes
    - Viewed (0)
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