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    Searched defs:variance (Results 1 - 25 of 47) sorted by null

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  /frameworks/av/media/libcpustats/
CentralTendencyStatistics.cpp 52 double CentralTendencyStatistics::variance() const function in class:CentralTendencyStatistics
54 double variance; local
58 variance = mM2 / (mN - 1);
60 variance = NAN;
62 mVariance = variance;
65 variance = mVariance;
67 return variance;
74 stddev = sqrt(variance());
  /external/apache-commons-math/src/main/java/org/apache/commons/math/stat/descriptive/moment/
StandardDeviation.java 26 * is the positive square root of the variance. This implementation wraps a
27 * {@link Variance} instance. The <code>isBiasCorrected</code> property of the
28 * wrapped Variance instance is exposed, so that this class can be used to
30 * bias-corrected "sample variance") or the "population standard deviation"
31 * (the square root of the non-bias-corrected "population variance"). See
32 * {@link Variance} for more information.
47 /** Wrapped Variance instance */
48 private Variance variance = null; field in class:StandardDeviation
51 * Constructs a StandardDeviation. Sets the underlying {@link Variance}
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Kurtosis.java 111 double variance = moment.m2 / (moment.n - 1); local
112 if (moment.n <= 3 || variance < 10E-20) {
119 ((n - 1) * (n -2) * (n -3) * variance * variance);
171 Variance variance = new Variance(); local
172 variance.incrementAll(values, begin, length);
173 double mean = variance.moment.m1;
174 double stdDev = FastMath.sqrt(variance.getResult())
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Skewness.java 107 double variance = moment.m2 / (moment.n - 1); local
108 if (variance < 10E-20) {
113 ((n0 - 1) * (n0 -2) * FastMath.sqrt(variance) * variance);
172 final double variance = (accum - (accum2 * accum2 / length)) / (length - 1); local
179 accum3 /= variance * FastMath.sqrt(variance);
  /art/runtime/base/
histogram_test.cc 57 double variance; local
62 variance = hist->Variance();
63 EXPECT_DOUBLE_EQ(64.25, variance);
  /external/webrtc/webrtc/voice_engine/test/auto_test/standard/
video_sync_test.cc 58 // Computes the standard deviation by first estimating the sample variance
66 float variance = 0; local
68 variance += (*start - mean) * (*start - mean) / (num_elements - 1);
70 return sqrt(variance);
  /external/libvpx/libvpx/vp9/encoder/
vp9_blockiness.c 23 static int variance(int sum, int sum_squared, int size) { function
45 // by dividing the blockiness by the variance of the pixels on either side
70 var_0 = variance(sum_0, sum_sq_0, size);
71 var_1 = variance(sum_1, sum_sq_1, size);
102 var_0 = variance(sum_0, sum_sq_0, size);
103 var_1 = variance(sum_1, sum_sq_1, size);
  /external/chromium-trace/catapult/telemetry/telemetry/value/
list_of_scalar_values.py 13 def Variance(sample):
14 """ Compute the population variance.
32 return math.sqrt(Variance(sample))
42 list_of_variances: a list of numbers, the i-th element is the variance of
44 Variance(sample) to get the variance of the i-th sample.
53 variance = list_of_variances[i] if list_of_variances else Variance(l)
54 pooled_variance += k * variance
103 def variance(self) member in class:ListOfScalarValues
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  /external/deqp/modules/gles31/functional/
es31fSampleVariableTests.cpp 162 const float variance = (1.0f / (12.0f * (float)m_numSamples)); local
163 const float standardDeviation = deFloatSqrt(variance);
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  /cts/common/util/src/com/android/compatibility/common/util/
Stat.java 70 double variance = sumOfSquares / (data.length - 1); local
71 double stddev = Math.sqrt(variance);
  /external/antlr/antlr-3.4/runtime/Ruby/lib/antlr3/
profile.rb 84 def variance method in class:ANTLR3.Profile.DataSet
90 sqrt( variance )
  /external/apache-commons-math/src/main/java/org/apache/commons/math/stat/
StatUtils.java 25 import org.apache.commons.math.stat.descriptive.moment.Variance;
63 /** variance */
64 private static final Variance VARIANCE = new Variance();
301 * Returns the variance of the entries in the input array, or
304 * See {@link org.apache.commons.math.stat.descriptive.moment.Variance} for
312 * @return the variance of the values or Double.NaN if the array is empty
315 public static double variance(final double[] values) { method in class:StatUtils
316 return VARIANCE.evaluate(values)
339 public static double variance(final double[] values, final int begin, method in class:StatUtils
370 public static double variance(final double[] values, final double mean, method in class:StatUtils
397 public static double variance(final double[] values, final double mean) { method in class:StatUtils
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  /external/apache-commons-math/src/main/java/org/apache/commons/math/stat/correlation/
Covariance.java 24 import org.apache.commons.math.stat.descriptive.moment.Variance;
162 Variance variance = new Variance(biasCorrected); local
170 outMatrix.setEntry(i, i, variance.evaluate(matrix.getColumn(i)));
  /external/apache-commons-math/src/main/java/org/apache/commons/math/stat/descriptive/
StatisticalSummaryValues.java 38 /** The sample variance */
39 private final double variance; field in class:StatisticalSummaryValues
57 * @param variance the sample variance
63 public StatisticalSummaryValues(double mean, double variance, long n,
67 this.variance = variance;
113 return FastMath.sqrt(variance);
117 * @return Returns the variance.
120 return variance;
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AggregateSummaryStatistics.java 198 * {@inheritDoc}. This version returns the variance of all the aggregated
332 final double variance; local
334 variance = Double.NaN;
336 variance = 0d;
338 variance = m2 / (n - 1);
340 return new StatisticalSummaryValues(mean, variance, n, max, min, sum);
  /external/guava/guava-tests/benchmark/com/google/common/math/
StatsBenchmark.java 28 * Benchmarks for various algorithms for computing the mean and/or variance.
75 private final double variance; field in class:StatsBenchmark.MeanAndVariance
77 MeanAndVariance(double mean, double variance) {
79 this.variance = variance;
84 return Doubles.hashCode(mean) * 31 + Doubles.hashCode(variance);
91 MeanAndVariance variance(double[] values, MeanAlgorithm meanAlgorithm) { method
97 MeanAndVariance variance(double[] values, MeanAlgorithm meanAlgorithm) { method
109 MeanAndVariance variance(double[] values, MeanAlgorithm meanAlgorithm) { method
126 MeanAndVariance variance(double[] values, MeanAlgorithm meanAlgorithm) method
141 abstract MeanAndVariance variance(double[] values, MeanAlgorithm meanAlgorithm); method in class:StatsBenchmark.VarianceAlgorithm
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  /external/pdfium/xfa/src/fxbarcode/oned/
BC_OneDReader.cpp 178 int32_t variance = counter > scaledPattern ? counter - scaledPattern local
180 if (variance > maxIndividualVariance) {
184 totalVariance += variance;
BC_OneDimReader.cpp 206 int32_t variance = PatternMatchVariance(counters, &patterns[i * 4], local
208 if (variance < bestVariance) {
209 bestVariance = variance;
  /external/webrtc/webrtc/common_audio/
audio_converter_unittest.cc 58 float variance = 0; local
64 variance += ref.channels()[i][j] * ref.channels()[i][j];
71 variance /= length;
73 variance -= mean * mean;
76 snr = 10 * std::log10(variance / mse);
  /external/webrtc/webrtc/modules/audio_processing/intelligibility/
intelligibility_utils.h 47 // The result is an array of variances per position: the i-th variance
48 // is the variance of the stream of data on the i-th positions in the
91 const float* variance() const { return variance_.get(); } function in class:webrtc::intelligibility::VarianceArray
  /external/webrtc/webrtc/voice_engine/
utility_unittest.cc 98 float variance = 0; local
103 variance += ref_frame.data_[i] * ref_frame.data_[i];
107 snr = 10 * log10(variance / mse);
  /hardware/intel/common/omx-components/videocodec/libvpx_internal/libvpx/vp8/common/
variance_c.c 12 #include "variance.h"
34 static void variance( function
76 variance(src_ptr, source_stride, ref_ptr, recon_stride, 16, 16, &var, &avg);
92 variance(src_ptr, source_stride, ref_ptr, recon_stride, 8, 16, &var, &avg);
108 variance(src_ptr, source_stride, ref_ptr, recon_stride, 16, 8, &var, &avg);
125 variance(src_ptr, source_stride, ref_ptr, recon_stride, 8, 8, &var, &avg);
141 variance(src_ptr, source_stride, ref_ptr, recon_stride, 4, 4, &var, &avg);
157 variance(src_ptr, source_stride, ref_ptr, recon_stride, 16, 16, &var, &avg);
  /system/extras/tests/ext4/
rand_emmc_perf.c 59 long long variance = 0;; local
104 variance += x; /* Summation */
106 sdev = sqrt((double)variance/(double)stats_count);
  /external/apache-commons-math/src/main/java/org/apache/commons/math/stat/clustering/
KMeansPlusPlusClusterer.java 27 import org.apache.commons.math.stat.descriptive.moment.Variance;
41 /** Split the cluster with largest distance variance. */
64 * algorithm iterations is to split the cluster with largest distance variance.
201 * Get a random point from the {@link Cluster} with the largest distance variance.
213 // compute the distance variance of the current cluster
215 final Variance stat = new Variance();
219 final double variance = stat.getResult(); local
221 // select the cluster with the largest variance
222 if (variance > maxVariance)
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  /external/libvpx/libvpx/vpx_dsp/
variance.c 17 #include "vpx_dsp/variance.h"
80 static void variance(const uint8_t *a, int a_stride, function
165 variance(a, a_stride, b, b_stride, W, H, sse, &sum); \
207 /* Identical to the variance call except it takes an additional parameter, sum,
215 variance(a, a_stride, b, b_stride, W, H, sse, sum); \
218 /* Identical to the variance call except it does not calculate the
227 variance(a, a_stride, b, b_stride, W, H, sse, &sum); \
231 /* All three forms of the variance are available in the same sizes. */
577 /* All three forms of the variance are available in the same sizes. */

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