Extreme Optimization™: Complexity made simple.

Math and Statistics
Libraries for .NET

  • Home
  • Features
    • Math Library
    • Vector and Matrix Library
    • Statistics Library
    • Performance
    • Usability
  • Documentation
    • Introduction
    • Math Library User's Guide
    • Vector and Matrix Library User's Guide
    • Data Analysis Library User's Guide
    • Statistics Library User's Guide
    • Reference
  • Resources
    • Downloads
    • QuickStart Samples
    • Sample Applications
    • Frequently Asked Questions
    • Technical Support
  • Blog
  • Order
  • Company
    • About us
    • Testimonials
    • Customers
    • Press Releases
    • Careers
    • Partners
    • Contact us
Introduction
Deployment Guide
Configuration
Using Parallelism
Expand Mathematics Library User's GuideMathematics Library User's Guide
Expand Vector and Matrix Library User's GuideVector and Matrix Library User's Guide
Expand Data Analysis Library User's GuideData Analysis Library User's Guide
Expand Statistics Library User's GuideStatistics Library User's Guide
Expand Data Access Library User's GuideData Access Library User's Guide
Expand ReferenceReference
  • Extreme Optimization
    • Features
    • Solutions
    • Documentation
    • QuickStart Samples
    • Sample Applications
    • Downloads
    • Technical Support
    • Download trial
    • How to buy
    • Blog
    • Company
    • Resources
  • Documentation
    • Introduction
    • Deployment Guide
    • Configuration
    • Using Parallelism
    • Mathematics Library User's Guide
    • Vector and Matrix Library User's Guide
    • Data Analysis Library User's Guide
    • Statistics Library User's Guide
    • Data Access Library User's Guide
    • Reference
  • 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.Tests
    • AndersonDarlingDistribution Class
    • AndersonDarlingTest Class
    • AnovaPostHocTest Class
    • BartlettTest Class
    • ChiSquareGoodnessOfFitTest Class
    • Exactness Enumeration
    • FTest Class
    • GeneralizedEsdTest Class
    • GrubbsTest Class
    • HypothesisTest Class
    • HypothesisType Enumeration
    • KruskalWallisTest Class
    • LeveneTest Class
    • LeveneTestLocationMeasure Enumeration
    • LjungBoxTest Class
    • MannWhitneyTest Class
    • MannWhitneyTest(T) Class
    • McNemarTest Class
    • MultiSampleTest Class
    • MultiSampleTest(T) Class
    • OneSampleChiSquareTest Class
    • OneSampleKolmogorovSmirnovTest Class
    • OneSampleTest Class
    • OneSampleTest(T) Class
    • OneSampleTTest Class
    • OneSampleZTest Class
    • OneSampleZTestOfProportion Class
    • RunsTest Class
    • RunsTest(T) Class
    • SamplePairing Enumeration
    • ShapiroWilkTest Class
    • SimpleHypothesisTest Class
    • StuartMaxwellTest Class
    • StudentizedRangeDistribution Class
    • TwoSampleKolmogorovSmirnovTest Class
    • TwoSampleTest Class
    • TwoSampleTest(T) Class
    • TwoSampleTTest Class
    • TwoSampleZTest Class
    • VarianceAssumption Enumeration
  • StuartMaxwellTest Class
    • StuartMaxwellTest Constructors
    • Properties
    • StuartMaxwellTest Methods
  • StuartMaxwellTest Constructors
    • StuartMaxwellTest Constructor (CategoricalVariable, CategoricalVariable)
    • StuartMaxwellTest Constructor (ICategoricalVector, ICategoricalVector)
  • StuartMaxwellTest Constructor (ICategoricalVector, ICategoricalVector)
StuartMaxwellTest Constructor (ICategoricalVector, ICategoricalVector)Extreme Optimization Numerical Libraries for .NET Professional
Constructs a new StuartMaxwellTest.

Namespace: Extreme.Statistics.Tests
Assembly: Extreme.Numerics.Net40 (in Extreme.Numerics.Net40.dll) Version: 6.0.16073.0 (6.0.16312.0)
Syntax

C#
VB
C++
F#
Copy
public StuartMaxwellTest(
	ICategoricalVector sample1,
	ICategoricalVector sample2
)
Public Sub New ( 
	sample1 As ICategoricalVector,
	sample2 As ICategoricalVector
)
public:
StuartMaxwellTest(
	ICategoricalVector^ sample1, 
	ICategoricalVector^ sample2
)
new : 
        sample1 : ICategoricalVector * 
        sample2 : ICategoricalVector -> StuartMaxwellTest

Parameters

sample1
Type: Extreme.MathematicsICategoricalVector
A CategoricalVectorT that represents the first sample.
sample2
Type: Extreme.MathematicsICategoricalVector
A CategoricalVectorT that represents the second sample.
Exceptions

ExceptionCondition
ArgumentNullException

sample1 is .

-or-

sample2 is .

ArgumentExceptionsample1 and sample2 do not have the same number of levels.
DimensionMismatchExceptionsample1 and sample2 do not have the same number of observations.
Remarks

Both samples must be categorical samples with the same number of levels, and they must have the same length.

Version Information

Numerical Libraries

Supported in: 6.0
See Also

Reference

StuartMaxwellTest Class
StuartMaxwellTest Overload
Extreme.Statistics.Tests Namespace

Copyright (c) 2004-2016 ExoAnalytics Inc.

Send comments on this topic to support@extremeoptimization.com

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.