- Extreme Optimization
- Documentation
- Reference
- Extreme
- Extreme.Collections
- Extreme.Data
- Extreme.Data.Json
- Extreme.Data.Matlab
- Extreme.Data.R
- Extreme.Data.Stata
- Extreme.Data.Text
- Extreme.DataAnalysis
- Extreme.DataAnalysis.Linq
- Extreme.Mathematics
- Extreme.Mathematics.Algorithms
- Extreme.Mathematics.Calculus
- Extreme.Mathematics.Calculus.OrdinaryDifferentialEquations
- Extreme.Mathematics.Curves
- Extreme.Mathematics.Curves.Nonlinear
- Extreme.Mathematics.Distributed
- Extreme.Mathematics.Distributed.Cuda
- Extreme.Mathematics.EquationSolvers
- Extreme.Mathematics.FSharp
- Extreme.Mathematics.Generic
- Extreme.Mathematics.Generic.LinearAlgebra
- Extreme.Mathematics.Generic.LinearAlgebra.Implementation
- Extreme.Mathematics.Generic.LinearAlgebra.Providers
- Extreme.Mathematics.Generic.SignalProcessing
- Extreme.Mathematics.Implementation
- Extreme.Mathematics.LinearAlgebra
- Extreme.Mathematics.LinearAlgebra.Complex
- Extreme.Mathematics.LinearAlgebra.Complex.Decompositions
- Extreme.Mathematics.LinearAlgebra.Implementation
- Extreme.Mathematics.LinearAlgebra.IO
- Extreme.Mathematics.LinearAlgebra.IterativeSolvers
- Extreme.Mathematics.LinearAlgebra.IterativeSolvers.Preconditioners
- Extreme.Mathematics.LinearAlgebra.Providers
- Extreme.Mathematics.LinearAlgebra.Sparse
- Extreme.Mathematics.Optimization
- Extreme.Mathematics.Optimization.Genetic
- Extreme.Mathematics.Optimization.LineSearches
- Extreme.Mathematics.Random
- Extreme.Mathematics.SignalProcessing
- Extreme.Numerics.FSharp
- Extreme.Statistics
- Extreme.Statistics.Distributions
- Extreme.Statistics.IO
- Extreme.Statistics.Linq
- Extreme.Statistics.Multivariate
- Extreme.Statistics.Random
- Extreme.Statistics.Tests
- Extreme.Statistics.TimeSeriesAnalysis

- Extreme.Statistics
- Aggregator Class
- AnovaModel Class
- AnovaModelRow Class
- AnovaRow Class
- AnovaRowCollection Class
- AnovaRowType Enumeration
- AnovaTable Class
- BoundaryIntervalBehavior Enumeration
- CategoricalScale Class
- CategoricalVariable Class
- CategoricalVariable.CategoricalFilters Structure
- Cell Structure
- CellArray Class
- ClassificationModel Class
- ClusteringModel Class
- CollectionSortOrder Class
- ContingencyTable Class
- ContingencyTableCell Structure
- DataArray(T) Class
- DataArrayElement(T) Class
- DateTimeInterval Structure
- DateTimeScale Class
- DateTimeUnit Enumeration
- DateTimeVariable Class
- DateTimeVariable.DateTimeFilters Structure
- Descriptives(T) Class
- Filter Class
- GeneralizedLinearModel Class
- Histogram Class
- HistogramBin Structure
- HistogramBinCollection Class
- HypothesisTests Class
- InsufficientDataException Class
- ITransformationModel Interface
- Kernel Class
- KernelDensity Class
- KernelDensityBandwidthEstimator Enumeration
- KeyVariable Class
- KeyVariable(T) Class
- LinearRegressionModel Class
- LinkFunction Class
- LogisticRegressionMethod Enumeration
- LogisticRegressionModel Class
- MissingValueAction Enumeration
- MissingValueException Class
- Model Class
- ModelExtensions Class
- ModelFamily Class
- ModelFitOptions Class
- ModelInput Class
- ModelInputCategory Enumeration
- ModelInputFormat Enumeration
- ModelInputGroup Class
- ModelSerialization Enumeration
- ModelStatus Enumeration
- ModelTerm Class
- ModelTermCollection Class
- ModelTermKind Enumeration
- MultipleMissingValueAction Enumeration
- NearestCorrelationMatrixAlgorithm Enumeration
- NonlinearRegressionModel Class
- NumericalScale Class
- NumericalVariable Class
- NumericalVariable.NumericalFilters Structure
- NumericalVariable.NumericalVariableTransforms Structure
- Observation Structure
- ObservationCollection Class
- OneWayAnovaModel Class
- OneWayRAnovaModel Class
- Parameter Class
- ParameterCollection Class
- ParameterVector Class
- PolynomialRegressionModel Class
- RankTiebreaker Enumeration
- RegressionModel Class
- RegularizedRegressionModel Class
- ScaleFittingMethod Enumeration
- SeriesExtensions Class
- SimpleRegressionKind Enumeration
- SimpleRegressionModel Class
- SortOrder Enumeration
- SpecialBins Enumeration
- Stats Class
- StepwiseCriterion Enumeration
- StepwiseOptions Class
- StepwiseRegressionMethod Enumeration
- SumsOfSquaresType Enumeration
- TestOfHomogeneityOfVariances Enumeration
- TestOfNormality Enumeration
- TransformationModel Class
- TransformedParameter Class
- TwoWayAnovaModel Class
- UnivariateModel Class
- Variable Class
- VariableCollection Class
- WindowFilter Class

- ParameterVector Class
- Methods

ParameterVector Methods | Extreme Optimization Numerical Libraries for .NET Professional |

The ParameterVector type exposes the following members.

Methods

Extension Methods

See Also

#### Reference

Copyright © 2004-2018,
Extreme Optimization. All rights reserved.

*Extreme Optimization,* *Complexity made simple*, *M#*, and *M
Sharp* are trademarks of ExoAnalytics Inc.

*Microsoft*, *Visual C#, Visual Basic, Visual Studio*, *Visual
Studio.NET*, and the *Optimized for Visual Studio* logo

are
registered trademarks of Microsoft Corporation.