IMSL .NET Numerical Libraries
IMSL .NET Numerical Libraries
Imsl.Stat
AllDeletedException Class
AllMissingException Class
AltSeriesAccuracyLossException Class
ANCOVA Class
ANOVA Class
ANOVA.ComputeOption Enumeration
ANOVAFactorial Class
ANOVAFactorial.ErrorCalculation Enumeration
ARAutoUnivariate Class
ARAutoUnivariate.ParamEstimation Enumeration
ARMA Class
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
Cdf Class
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
GARCH Class
ICdfFunction Interface
IDistribution Interface
IllConditionedException Class
IncreaseErrRelException Class
InitialMAException Class
InvalidMatrixException Class
InvalidPartialCorrelationException Class
InvCdf 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
Pdf Class
PoissonDistribution Class
PooledCovarianceSingularException Class
ProportionalHazards Class
ProportionalHazards.TieHandling Enumeration
Random Class
Random.BaseGenerator Interface
RankDeficientException Class
RankException Class
Ranks Class
Ranks.Tie Enumeration
RegressorsForGLM Class
RegressorsForGLM.DummyType Enumeration
ScaleFactorZeroException Class
SelectionRegression Class
SelectionRegression.Criterion Enumeration
SelectionRegression.SummaryStatistics Class
SignTest Class
SingularException Class
SingularTriangularMatrixException Class
Sort Class
StepwiseRegression Class
StepwiseRegression.CoefficientTTestsValue Class
StepwiseRegression.Direction Enumeration
Summary Class
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
Dissimilarities
Scaling Enumeration
Specifies the type of scaling.
Namespace:
Imsl.Stat
Assembly:
ImslCS (in ImslCS.dll) Version: 6.5.2.0
Syntax
C#
VB
C++
F#
Copy
public
enum
Scaling
Public
Enumeration
Scaling
public
enum class
Scaling
type
Scaling
Members
Member name
Value
Description
None
0
Indicates no scaling.
StdDev
1
Indicates scaling by the standard deviation.
Range
2
Indicates scaling by the range.
See Also
Reference
Imsl.Stat Namespace
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