Searched refs:standardDeviation (Results 1 – 8 of 8) sorted by relevance
43 private final double[] standardDeviation; field in UncorrelatedRandomVectorGenerator54 double[] standardDeviation, in UncorrelatedRandomVectorGenerator() argument56 if (mean.length != standardDeviation.length) { in UncorrelatedRandomVectorGenerator()57 throw new DimensionMismatchException(mean.length, standardDeviation.length); in UncorrelatedRandomVectorGenerator()60 this.standardDeviation = standardDeviation.clone(); in UncorrelatedRandomVectorGenerator()74 standardDeviation = new double[dimension]; in UncorrelatedRandomVectorGenerator()75 Arrays.fill(standardDeviation, 1.0); in UncorrelatedRandomVectorGenerator()86 random[i] = mean[i] + standardDeviation[i] * generator.nextNormalizedDouble(); in nextVector()
53 private double standardDeviation = 1; field in NormalDistributionImpl122 return standardDeviation; in getStandardDeviation()147 standardDeviation = sd; in setStandardDeviationInternal()172 …return FastMath.exp(-x0 * x0 / (2 * standardDeviation * standardDeviation)) / (standardDeviation *… in density()186 if (FastMath.abs(dev) > 40 * standardDeviation) { in cumulativeProbability()190 (standardDeviation * FastMath.sqrt(2.0)))); in cumulativeProbability()240 return randomData.nextGaussian(mean, standardDeviation); in sample()300 ret = mean - standardDeviation; in getInitialDomain()302 ret = mean + standardDeviation; in getInitialDomain()
74 double standardDeviation = computeStandardDeviation(mBufferData, mean); in measurePerformance() local76 log("standard deviation before discarding 99% data: " + standardDeviation); in measurePerformance()77 log("stdev/mean before discarding 99% data: " + (standardDeviation / mean)); in measurePerformance()253 double standardDeviation; in computeStandardDeviation() local262 standardDeviation = Math.sqrt(sumDeviation / (count - 1)); in computeStandardDeviation()263 return standardDeviation; in computeStandardDeviation()
789 double standardDeviation; member802 double standardDeviation = 0.0; in calculateStats() local807 standardDeviation += (x - mean) * (x - mean); in calculateStats()810 standardDeviation /= (double)samples.size(); in calculateStats()811 standardDeviation = std::sqrt(standardDeviation); in calculateStats()813 double standardErrorOfMean = standardDeviation / std::sqrt((double)samples.size()); in calculateStats()818 stats.standardDeviation = standardDeviation; in calculateStats()880 … << batchedStats.mean << "us, Standard deviation: " << batchedStats.standardDeviation << "us, Stan… in iterate()881 …unbatchedStats.mean << "us, Standard deviation: " << unbatchedStats.standardDeviation << "us, Stan… in iterate()902 if (unbatchedStats.standardDeviation > 0.0) in iterate()[all …]
651 double standardDeviation = stats.getStandardDeviation(); in normalize() local658 standardizedSample[i] = (sample[i] - mean) / standardDeviation; in normalize()
176 double standardDeviation() const;
372 double Magick::ChannelStatistics::standardDeviation() const in standardDeviation() function in Magick::ChannelStatistics
163 const float standardDeviation = deFloatSqrt(variance); in SampleAverageVerifier() local168 m_distanceThreshold = 2 * standardDeviation; in SampleAverageVerifier()