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Robust regressionRobust statisticsMedian absolute deviationExplained variationStandard deviationCorrelation ratioEffect sizeEffective sample sizeGeometric standard deviationInterquartile rangeStandard errorScale parameterStandard scoreRangeQualitative variationStatistical dispersionHomogeneity and heterogeneitySampling distributionQuartile coefficient of dispersionOverdispersionMathematical statisticsCoefficient of variationComposite measureFeature scalingInternal consistencyEstimating equationsStatistical parameterInverse-variance weightingStatistical stabilityNormality testRejection samplingMeasurement uncertaintyInterval estimationStatisticsResidual sum of squaresStatisticMean absolute differenceT-statisticScaleResponse surface methodologyErrors-in-variables modelsMethodology of econometricsSkewnessIndexHuber lossCluster samplingRandom projectionRoot-mean-square deviationRandom sample consensusStatistical shape analysisM-estimatorStudentized range distributionRandom effects modelNonparametric statisticsInverse probability weightingParametric statisticsStudentized residualEstimation theoryAncillary statisticStatistical modelMagnitudeStochastic volatilityRatio estimatorDegrees of freedomStatistical inferenceBias of an estimatorMargin of errorHigh-dimensional statisticsSummary statisticsSample size determinationMean percentage errorStatistical theorySurvey samplingSampling errorExtreme value theoryConsistencyMultinomial testRobust optimizationExponential dispersion modelStatistical riskSimilarity measureOutline of statisticsMean absolute errorCentral tendencyContinuous or discrete variableProbability distributionExtrapolationBinomial testIntraclass correlationOutlierMultiple-scale analysisSample maximum and minimumCoverage probabilityDecouplingSkew normal distributionPeirce's criterionExploratory data analysisSystematic samplingMaximum likelihood estimationMarginal distribution