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Student's t distributionLatent variableMultivariate random variableParameter identification problemEstimation theoryGeneralized estimating equationCovarianceRandom effects modelFree parameterNonparametric regressionFraction of variance unexplainedKernel regressionMargin of errorEstimating equationsSequential analysisHeteroscedasticityConditional varianceGeneralized least squaresRelative likelihoodStochastic volatilityRandom variableOmitted-variable biasConfidence intervalRatio estimatorNonparametric statisticsPrior probabilityInterval estimationPartial autocorrelationMaximum likelihood estimationPosterior predictive distributionApproximation errorStudy heterogeneityOrdinary least squaresExtraneous variableBest linear unbiased predictionRandom matrixPermutational analysis of varianceMeasurement uncertaintyMultivariate analysis of varianceQuadratic formEstimatorRegressionSample mean and covarianceNormal random variableSampling errorCorrelationProbability distributionEndogeneityHypergeometric random variableFactor analysisErrors-in-variables modelsPropagation of uncertaintyStandard errorProxyInverse-variance weightingBias of an estimatorExplained variationMaximum a posteriori estimationSemiparametric modelCanonical correlationExploratory factor analysisExtrapolationBayesian vector autoregressionRandomnessFirst-difference estimatorGaussian random fieldStatistical inferenceConfounding variableExperimental probabilityForecast errorCorrelation functionSemivarianceCovariance matrixPredictor variableHidden markov modelAncillary statisticMultivariate t-distributionMatrix completionMatrix chernoff boundEstimationQuasi-likelihoodMixed modelIgnorabilityLatent class modelPolychoric correlationResidual sum of squaresOptimal estimationPartial regression plotMulti-armed banditMean absolute errorUncertaintyNuisance parameterDistance correlationDegrees of freedomNon-linear least squaresCross-correlation matrixPseudolikelihoodProjection matrixLikelihood functionSemiparametric regression