Terminology

Terminology explains some of the mathematical and statistical terms used in the Genstat output: Absorbing factorAccumulated analysis of devianceAccumulated analysis of varianceAdded factorAliasAnalysis of covarianceAnalysis of varianceAnte-dependenceARIMAAutocorrelationAutoregressiveAxesBalanced designBasic factorBinomial distributionBernoulli distributionBinomial totalsBit patternBlock-factorCanonical variateCentroidClass predictorClassification setClusteringCombined meansCombined effectsCombined estimateCommunalitiesComplex latent rootConfoundingContinuous distributionContrastCorrelationcov. e.f.Covariance efficiency factorCross correlationCubCut-pointd.f.d.d.f.Degrees of freedomDendrogramDesign keyDevianceDeviationsDiscrete distributionDispersion parameterDistance matrixDistributione.f.e.s.e.EffectEffective d.f.Efficiency factorEigenvalueEigenvectorEstimateF pr.Factor rotationFactorial limitFitted configurationFitted valueFixed modelFixed configurationFourier transformationGeneralized additive modelGeneralized linear modelGrand meanHeterogeneityHierarchical clusteringImaginaryInformation summaryInitial classificationInnovation varianceKrigingKurtosisLagLatent rootLatent vectorLeast-squares scaling factorLeft singular vectorLeverageLinLinear parameterLink functionLoadingsLog seriesLognormalm.s.Mean squarem.v.Mahalanobis distanceMaximal predictive criterionMedianMinimum spanning treeMoving-averageMultidimensional scalingn.d.f.Negative binomialNegative binomial indexNeyman type ANoise modelNon-hierarchical clusteringNon-orthogonalNugget varianceOffsetOrdered categorical dataOrdinal modelOrthogonalOrthogonal rotationPartial aliasingPartial confoundingPedigreePercentage variance accounted forPeriodogramPoissonPoisson indexPoisson-log-NormalPoisson-PascalPolynomialPredictionPrincipal componentPrincipal components analysisPrincipal component scorePrincipal coordinatePrincipal coordinates analysisProcrustes rotationPseudo-factorQuadQuantileQuartQuartileRandom coefficient modelRandom modelRandomizationReduced similarity matrixrep.ReplicationResidualResponseResponse variateRestrictionRight singular vectorRotated factors.e.s.e.d.s.s.Sample statisticSemivarianceSemivariogramSeparate nonlinearSill varianceSimilarity matrixSingular valueSingular value decompositionSkewnessSmoothedSmoothing splineSpectral analysisSpectral decompositionSplineSpline modelss.div.Standard errorStandard error of differenceStandardized residualStratumStratum varianceSubmodels.s.Sum of squarest probTraceTransfer-function modelTrellis plotTwo-matrix latent decompositionUnbalanced design*units*Unsymmetric matrix decompositionv.r.Variance ratioVarianceVariance componentVariogramWald statisticwt.rep.Y-effectYates effect.

See also

  • Glossary for explanations of Genstat terminology
Updated on May 20, 2019

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