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KurtosisSkew normal distributionSkewnessOverdispersionTail riskTruncated normal distributionRegression toward the meanFat-tailed distributionNormality testStandard scoreAnomaly detectionAnomalyDelta methodExtreme value theoryStudent's t-distributionGumbel distributionCompound probability distributionHoeffding's inequalityHeavy-tailed distributionCoefficient of variationPercentileCorrelation ratioBias of an estimatorStatistical parameterGeometric standard deviationKernel density estimationNormal distributionT-statisticPropagation of uncertaintyMultivariate normal distributionIndex of dispersionProbability density functionRoot-mean-square deviationMixture distributionCoverage probabilityLog-normal distributionNoncentral f-distributionProbability distributionNegative binomial distributionStatistical distanceNonlinear regressionLogarithmic distributionF-distributionThreshold modelForecast errorCentral limit theoremBinomial testExplained variationRandom variateBeta distributionSampling probabilityMean percentage errorSampling biasResidual sum of squaresStudentized range distributionExponential distributionStandard errorPoisson distributionSampling errorP-valueChi-squared distributionLog-logistic distributionFrequentist inferenceBinomial regressionMean squared errorFalse positive rateD'agostino's k-squared testLong tailGrubbs's testParametric statisticsProbable errorPrediction intervalExplained sum of squaresInverse probability weightingHyperbolic secant distributionMatrix normal distributionMathematical statisticsLikelihood functionLogistic regressionTaleb distributionRice distributionLarge deviations theorySmoothnessCovariance functionPoint estimationInverse-chi-squared distributionNormal-inverse-gamma distributionFounders of statisticsGeneralized dirichlet distributionMarginal distributionRandom sample consensusDecision theoryNonparametric statisticsEmpirical probabilityStructural breakHigh-dimensional statisticsGaussian processAsymmetric laplace distributionErrors and residualsGaussian noise