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ObservationEquation - Class in com.numericalmethod.suanshu.stats.dlm

The observation equation in a controlled dynamic linear model.

ObservationEquation(R1toMatrix, R1toMatrix) - Constructor for class com.numericalmethod.suanshu.stats.dlm.ObservationEquation

Construct an observation equation.

ObservationEquation(Matrix, Matrix) - Constructor for class com.numericalmethod.suanshu.stats.dlm.ObservationEquation

Construct a time-invariant an observation equation.

ObservationEquation(ObservationEquation) - Constructor for class com.numericalmethod.suanshu.stats.dlm.ObservationEquation

Copy constructor.

OlsRegression - Class in com.numericalmethod.suanshu.stats.regression.linear.ols

(Weighted) Ordinary Least Squares (OLS) is a method for fitting a linear regression model.

OlsRegression(LmProblem) - Constructor for class com.numericalmethod.suanshu.stats.regression.linear.ols.OlsRegression

Construct an OlsRegression instance.

OLSSolver - Class in com.numericalmethod.suanshu.matrix.doubles.linearsystem

This class solves a system of over-determined linear equations in the ordinary least square sense.

OLSSolver(Matrix, OLSSolver.Method, double) - Constructor for class com.numericalmethod.suanshu.matrix.doubles.linearsystem.OLSSolver

Construct an OLS solver for a matrix A, where Ax = y

OLSSolver(Matrix) - Constructor for class com.numericalmethod.suanshu.matrix.doubles.linearsystem.OLSSolver

Construct an OLS solver for a matrix A, where Ax = y.

OLSSolver.Method - Enum in com.numericalmethod.suanshu.matrix.doubles.linearsystem

the methods available to solve an Ordinary Least Square problem

omega - Variable in class com.numericalmethod.suanshu.optimization.unconstrained.quasinewton.Huang

ω, a Huang family parameterization

ONE - Static variable in class com.numericalmethod.suanshu.analysis.function.polynomial.Polynomial

a polynomial representing 1

ONE() - Method in class com.numericalmethod.suanshu.analysis.function.polynomial.Polynomial

ONE() - Method in interface com.numericalmethod.suanshu.mathstructure.Monoid

The multiplicative element 1 in the group such that for any elements a in the group, the equation 1 × a = a × 1 = a holds.

ONE() - Method in class com.numericalmethod.suanshu.matrix.doubles.ImmutableMatrix

ONE() - Method in interface com.numericalmethod.suanshu.matrix.doubles.MatrixRing

Get an identity matrix that has the same dimension as this matrix.

ONE() - Method in class com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.DenseMatrix

ONE() - Method in class com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.diagonal.BidiagonalMatrix

ONE() - Method in class com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.diagonal.DiagonalMatrix

ONE() - Method in class com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.diagonal.TridiagonalMatrix

ONE() - Method in class com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.triangle.LowerTriangularMatrix

ONE() - Method in class com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.triangle.SymmetricMatrix

ONE() - Method in class com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.triangle.UpperTriangularMatrix

ONE() - Method in class com.numericalmethod.suanshu.matrix.doubles.matrixtype.GivensMatrix

ONE() - Method in class com.numericalmethod.suanshu.matrix.doubles.matrixtype.PermutationMatrix

ONE() - Method in class com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.CsrSparseMatrix

ONE() - Method in class com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.DokSparseMatrix

ONE() - Method in class com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.LilSparseMatrix

ONE() - Method in class com.numericalmethod.suanshu.matrix.doubles.operation.ImmutableKroneckerProduct

ONE() - Method in class com.numericalmethod.suanshu.matrix.doubles.operation.SubMatrixRef

ONE() - Method in class com.numericalmethod.suanshu.matrix.generic.matrixtype.ComplexMatrix

ONE() - Method in class com.numericalmethod.suanshu.matrix.generic.matrixtype.GenericMatrix

ONE() - Method in class com.numericalmethod.suanshu.matrix.generic.matrixtype.RealMatrix

ONE - Static variable in class com.numericalmethod.suanshu.number.complex.Complex

a number representing 1.0 + 0.0i

ONE() - Method in class com.numericalmethod.suanshu.number.complex.Complex

A number representing 1.0 + 0.0i.

ONE - Static variable in class com.numericalmethod.suanshu.number.Real

a number representing 1

ONE() - Method in class com.numericalmethod.suanshu.number.Real

OneDimensionTimeSeries<T> - Class in com.numericalmethod.suanshu.stats.timeseries.univariate.realtime

This class creates a univariate realization from a multivariate realization by taking one of its dimension (coordinate).

OneDimensionTimeSeries(MultiVariateTimeSeries<T>, int) - Constructor for class com.numericalmethod.suanshu.stats.timeseries.univariate.realtime.OneDimensionTimeSeries

Construct a univariate realization from a multivariate realization by taking one of its dimension (coordinate).

OneDimensionTimeSeries.Entry<T> - Class in com.numericalmethod.suanshu.stats.timeseries.univariate.realtime

OneDimensionTimeSeries.Entry(T, double) - Constructor for class com.numericalmethod.suanshu.stats.timeseries.univariate.realtime.OneDimensionTimeSeries.Entry

OneDimensionTimeSeries.Iterator<T> - Class in com.numericalmethod.suanshu.stats.timeseries.univariate.realtime

the Iterator to read a OneDimensionTimeSeries

oneSidedPvalue(UnivariateDistribution, double) - Static method in class com.numericalmethod.suanshu.stats.test.HypothesisTest

A one-sided P-value is the probability of observing a test statistic at least as extreme as the one observed; hence, the one-sided P-value is simply given by the complementary cumulative distribution function (survival function) for continuous distribution.

OneWayANOVA - Class in com.numericalmethod.suanshu.stats.test.mean

The One-Way ANOVA test tests for the equality of the means of several groups.

OneWayANOVA(double[]...) - Constructor for class com.numericalmethod.suanshu.stats.test.mean.OneWayANOVA

Perform the one-way ANOVA test to test for the equality of the means of several groups.

opposite() - Method in class com.numericalmethod.suanshu.analysis.function.polynomial.Polynomial

opposite() - Method in interface com.numericalmethod.suanshu.mathstructure.AbelianGroup

For each a in G, there exists an element b in G such that a + b = b + a = 0 That is, it is the object such as this.add(this.opposite()) == this.ZERO

opposite() - Method in class com.numericalmethod.suanshu.matrix.doubles.ImmutableMatrix

opposite() - Method in interface com.numericalmethod.suanshu.matrix.doubles.MatrixRing

Get the opposite of this matrix.

opposite() - Method in class com.numericalmethod.suanshu.matrix.doubles.matrixtype.MatrixMathImpl

opposite() - Method in class com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.SparseVector

opposite() - Method in class com.numericalmethod.suanshu.matrix.doubles.operation.ImmutableKroneckerProduct

opposite() - Method in class com.numericalmethod.suanshu.matrix.doubles.operation.SubMatrixRef

opposite() - Method in class com.numericalmethod.suanshu.matrix.generic.matrixtype.ComplexMatrix

opposite() - Method in class com.numericalmethod.suanshu.matrix.generic.matrixtype.GenericMatrix

opposite() - Method in class com.numericalmethod.suanshu.matrix.generic.matrixtype.RealMatrix

opposite() - Method in class com.numericalmethod.suanshu.number.complex.Complex

opposite() - Method in class com.numericalmethod.suanshu.number.Real

opposite() - Method in class com.numericalmethod.suanshu.vector.doubles.ImmutableVector

opposite() - Method in interface com.numericalmethod.suanshu.vector.doubles.Vector

Get the opposite of this vector.

order - Variable in class com.numericalmethod.suanshu.analysis.differentiation.Ridders

the order of the derivative

order - Variable in class com.numericalmethod.suanshu.analysis.differentiation.univariate.FiniteDifference

the order of the derivative

order(double[], boolean) - Static method in class com.numericalmethod.suanshu.misc.R

Get a permutation which rearranges an array into ascending or descending order.

order(double[]) - Static method in class com.numericalmethod.suanshu.misc.R

Get a permutation which rearranges an array into ascending order.

order - Variable in class com.numericalmethod.suanshu.stats.descriptive.moment.Moments

the highest moment to compute

order() - Method in class com.numericalmethod.suanshu.stats.random.pseudorandom.linear.CombinedLinearCongruentialGenerator

order() - Method in class com.numericalmethod.suanshu.stats.random.pseudorandom.linear.LEcuyer

order() - Method in class com.numericalmethod.suanshu.stats.random.pseudorandom.linear.Lehmer

order() - Method in interface com.numericalmethod.suanshu.stats.random.pseudorandom.linear.LinearCongruentialGenerator

Get the order of recursion.

order() - Method in class com.numericalmethod.suanshu.stats.random.pseudorandom.linear.MRG

ORIGIN - Static variable in class com.numericalmethod.suanshu.time.JodaTimeUtils

a reference time "origin": 1970 January 1, midnight, UTC I

orthogonal(Vector, Vector, double) - Static method in class com.numericalmethod.suanshu.matrix.doubles.AreMatrices

Check if two vectors are orthogonal.

orthogonal(Vector[], double) - Static method in class com.numericalmethod.suanshu.matrix.doubles.AreMatrices

Check if a set of vectors are orthogonal.

orthogonal(Matrix, double) - Static method in class com.numericalmethod.suanshu.matrix.doubles.IsMatrix

Check if a matrix is orthogonal, up to a threshold.

orthogonalVector - Variable in class com.numericalmethod.suanshu.vector.doubles.dense.operation.Projection

the orthogonal vector which is equal to v minus the projection of v on {wi}.

orthogonormal(Vector, Vector, double) - Static method in class com.numericalmethod.suanshu.matrix.doubles.AreMatrices

Check if two vectors are orthogonormal.

orthogonormal(Vector[], double) - Static method in class com.numericalmethod.suanshu.matrix.doubles.AreMatrices

Check if a set of vectors are orthogonormal.

overdispersion(Vector, Vector, int) - Method in class com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.Binomial

overdispersion(Vector, Vector, int) - Method in interface com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.ExponentialDistribution

Overdispersion is the presence of greater variability (statistical dispersion) in a data set than would be expected based on the nominal variance of a given simple statistical model.

overdispersion(Vector, Vector, int) - Method in class com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.Gamma

overdispersion(Vector, Vector, int) - Method in class com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.Gaussian

overdispersion(Vector, Vector, int) - Method in class com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.InverseGaussian

overdispersion(Vector, Vector, int) - Method in class com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.Poisson

overdispersion() - Method in class com.numericalmethod.suanshu.stats.regression.linear.glm.quasi.Residuals

Compute the over-dispersion.

overdispersion - Variable in class com.numericalmethod.suanshu.stats.regression.linear.glm.Residuals

overdispersion

overdispersion() - Method in class com.numericalmethod.suanshu.stats.regression.linear.glm.Residuals

Compute the overdispersion of this GLM.

overwrite(Matrix) - Method in class com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.DenseMatrix

This method is provided so that extended classes can overwrite itself efficiently.