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Probability distributionEstimation theoryRandom variableMeasurement uncertaintyRandom variateRandom effects modelForecast errorConditional varianceExplained variationExperimental uncertainty analysisCoefficient of variationEntropyCompound probability distributionErrors-in-variables modelsProbability mass functionStandard errorStochastic volatilityMarginal distributionBias of an estimatorApproximation theorySensitivity analysisCovariance functionStochastic processMean percentage errorConditional probabilityCoverage probabilityMathematical statisticsResidual sum of squaresLikelihood functionSampling errorApproximate entropyConditional entropyPoisson point processQuantities of informationRegular conditional probabilityStochastic controlRandom dynamical systemPrediction intervalGeometric standard deviationMultivariate random variableOverdispersionEffect sizeSampling distributionStatistical parameterProbability distribution fittingStochastic simulationInverse probability weightingRandom matrixStochastic differential equationPropagatorExponential distributionEmpirical measureMatrix differential equationSkewnessDelta methodCovarianceProbability-generating functionCumulative distribution functionEstimating equationsComplex random variableCharacteristic functionPolynomial chaosStatistical inferenceMean squared errorAnalysis of varianceNonlinear regressionPosterior predictive distributionStochastic driftParametric statisticsExtrapolationProbability spaceEmpirical processTotal least squaresProbability measureDistance correlationStatistical distanceCorrelation ratioProbability integral transformSampling probabilityBranching processProbabilistic logicCompound poisson distributionPoisson distributionError barErrors and residualsRandom sample consensusStandard deviationEntropy rateFounders of statisticsInformation contentDecouplingQuantum stateProbability density functionCorrelation functionPrior probabilityQuantile functionSample spaceRegression dilutionBayesian inferenceMean absolute percentage error