ARMAEstimateMissing.MissingValueEstimation Enumeration

IMSL .NET Numerical Libraries

IMSL .NET Numerical Libraries

AllDeletedException Class

AllMissingException Class

AltSeriesAccuracyLossException Class

ANOVA.ComputeOption Enumeration

ANOVAFactorial Class

ANOVAFactorial.ErrorCalculation Enumeration

ARAutoUnivariate Class

ARAutoUnivariate.ParamEstimation Enumeration

ARMA.ParamEstimation Enumeration

ARMAEstimateMissing Class

ARMAEstimateMissing.MissingValueEstimation Enumeration

ARMAMaxLikelihood Class

ARMAOutlierIdentification Class

ARSeasonalFit Class

ARSeasonalFit.CenterMethod Enumeration

AutoARIMA Class

AutoARIMA.InformationCriterion Enumeration

AutoCorrelation Class

AutoCorrelation.StdErr Enumeration

BadVarianceException Class

CategoricalGenLinModel Class

CategoricalGenLinModel.DistributionParameterModel Enumeration

ChiSquaredTest Class

ClassificationVariableException Class

ClassificationVariableLimitException Class

ClassificationVariableValueException Class

ClusterHierarchical Class

ClusterHierarchical.Linkage Enumeration

ClusterHierarchical.Transformation Enumeration

ClusterKMeans Class

ClusterNoPointsException Class

ConstrInconsistentException Class

ContingencyTable Class

Covariances Class

Covariances.MatrixType Enumeration

CovarianceSingular1Exception Class

CovarianceSingular2Exception Class

CovarianceSingularException Class

CrossCorrelation Class

CrossCorrelation.StdErr Enumeration

CyclingIsOccurringException Class

DeleteObservationsException Class

DidNotConvergeException Class

Difference Class

DiffObsDeletedException Class

DiscriminantAnalysis Class

DiscriminantAnalysis.Classification Enumeration

DiscriminantAnalysis.CovarianceMatrix Enumeration

DiscriminantAnalysis.Discrimination Enumeration

DiscriminantAnalysis.PriorProbabilities Enumeration

Dissimilarities Class

Dissimilarities.Method Enumeration

Dissimilarities.Scaling Enumeration

EigenvalueException Class

EmpiricalQuantiles Class

EmptyGroupException Class

EqConstrInconsistentException Class

FactorAnalysis Class

FactorAnalysis.MatrixType Enumeration

FactorAnalysis.Model Enumeration

FaureSequence Class

GammaDistribution Class

ICdfFunction Interface

IDistribution Interface

IllConditionedException Class

IncreaseErrRelException Class

InitialMAException Class

InvalidMatrixException Class

InvalidPartialCorrelationException Class

InverseCdf Class

IProbabilityDistribution Interface

IRandomSequence Interface

IRegressionBasis Interface

KalmanFilter Class

KaplanMeierECDF Class

KaplanMeierEstimates Class

KolmogorovOneSample Class

KolmogorovTwoSample Class

LackOfFit Class

LifeTables Class

LinearRegression Class

LinearRegression.CaseStatistics Class

LinearRegression.CoefficientTTestsValue Class

LogNormalDistribution Class

MatrixSingularException Class

MersenneTwister Class

MersenneTwister64 Class

MoreObsDelThanEnteredException Class

MultiCrossCorrelation Class

MultipleComparisons Class

NegativeFreqException Class

NegativeWeightException Class

NewInitialGuessException Class

NoAcceptableModelFoundException Class

NoConvergenceException Class

NoDegreesOfFreedomException Class

NonInvertibleException Class

NonlinearRegression Class

NonlinearRegression.IDerivative Interface

NonlinearRegression.IFunction Interface

NonPositiveEigenvalueException Class

NonPosVarianceException Class

NonPosVarianceXYException Class

NonStationaryException Class

NoPositiveVarianceException Class

NoProgressException Class

NormalDistribution Class

NormalityTest Class

NormOneSample Class

NormTwoSample Class

NotCDFException Class

NotPositiveDefiniteException Class

NotPositiveSemiDefiniteException Class

NotSemiDefiniteException Class

NoVariablesEnteredException Class

NoVariablesException Class

NoVariationInputException Class

NoVectorXException Class

PartialCovariances Class

PoissonDistribution Class

PooledCovarianceSingularException Class

ProportionalHazards Class

ProportionalHazards.TieHandling Enumeration

Random.BaseGenerator Interface

RankDeficientException Class

RankException Class

Ranks.Tie Enumeration

RegressorsForGLM Class

RegressorsForGLM.DummyType Enumeration

ScaleFactorZeroException Class

SelectionRegression Class

SelectionRegression.Criterion Enumeration

SelectionRegression.SummaryStatistics Class

SingularException Class

SingularTriangularMatrixException Class

StepwiseRegression Class

StepwiseRegression.CoefficientTTestsValue Class

StepwiseRegression.Direction Enumeration

SumOfWeightsNegException Class

TableMultiWay Class

TableMultiWay.TableBalanced Class

TableMultiWay.TableUnbalanced Class

TableOneWay Class

TableTwoWay Class

TooManyCallsException Class

TooManyFunctionEvaluationsException Class

TooManyIterationsException Class

TooManyIterationsReTryException Class

TooManyJacobianEvalException Class

TooManyObsDeletedException Class

UserBasisRegression Class

VarsDeterminedException Class

WilcoxonRankSum Class

ZeroNormException Class

Click or drag to resize

ARMAEstimateMissingMissingValueEstimation Enumeration

Missing value estimation methods.

Namespace: Imsl.Stat
Assembly: ImslCS (in ImslCS.dll) Version: 6.5.2.0

Syntax

public enum MissingValueEstimation

Public Enumeration MissingValueEstimation

public enum class MissingValueEstimation

type MissingValueEstimation

Members

	Member name	Value	Description
	Median	0	Indicates that missing values should be estimated using the median of the values just before and after the missing value gap.
	CubicSpline	1	Indicates that missing values should be estimated using cublic spline interpolation.
	AR_1	2	Indicates that missing values should be estimated using an autoregressive time series with 1 lag.
	AR_p	3	Indicates that missing values should be estimated using an autoregressive time series with a maximum lag of Maxlag. By default Maxlag=10, but this can be changed using the Maxlag property.

See Also

Reference

Imsl.Stat Namespace

Send comments on this topic to IMSL support