A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

X

x - Variable in class com.numericalmethod.suanshu.analysis.integration.univariate.riemann.substitution.Substitution

the transformation x(t)

X() - Method in class com.numericalmethod.suanshu.analysis.interpolation.NevilleTable

Get a copy of the x's.

x - Variable in exception com.numericalmethod.suanshu.analysis.uniroot.Uniroot.NoRootFoundException

the best approximate root found so far

X() - Method in class com.numericalmethod.suanshu.stats.regression.linear.LmProblem

Get a copy of the factor matrix.

x0 - Variable in class com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.integration.sde.RandomWalk.MultiVariateRealization

the initial value of the realization

x0 - Variable in class com.numericalmethod.suanshu.stats.stochasticprocess.univariate.integration.sde.RandomWalk.Realization

the initial value of the realization

xt(int, Vector, Vector) - Method in class com.numericalmethod.suanshu.stats.dlm.StateEquation

Compute the state equation.

xt(int, Vector) - Method in class com.numericalmethod.suanshu.stats.dlm.StateEquation

Compute the state equation without the control variable.

xt(int) - Method in class com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.integration.sde.RandomWalk.Iterator

Get the current value of the realization.

xt(int) - Method in class com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.MultiVariateRealization.Iterator

Get the current value of the realization.

Xt - Variable in class com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.sde.Ft

the value of the stochastic process at time t

Xt() - Method in class com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.sde.Ft

Get the current value of the stochastic process.

xt(int) - Method in class com.numericalmethod.suanshu.stats.stochasticprocess.univariate.integration.sde.RandomWalk.Iterator

Get the current value of the realization.

xt(int) - Method in class com.numericalmethod.suanshu.stats.stochasticprocess.univariate.Realization.Iterator

Get the current value of the realization.

Xt() - Method in class com.numericalmethod.suanshu.stats.stochasticprocess.univariate.sde.Ft

Get the current value of the stochastic process.

xt_mean(int, Vector, Vector) - Method in class com.numericalmethod.suanshu.stats.dlm.StateEquation

Predict for the next state.

xt_mean(int, Vector) - Method in class com.numericalmethod.suanshu.stats.dlm.StateEquation

Predict for the next state without control variable.

xt_var(int, Matrix) - Method in class com.numericalmethod.suanshu.stats.dlm.StateEquation

Variance of the (a prior) prediction for the next state.

XtAdaptedFunction - Class in com.numericalmethod.suanshu.stats.stochasticprocess.univariate.sde

This represents a F_t-adapted function that depends only on X(t).

XtAdaptedFunction() - Constructor for class com.numericalmethod.suanshu.stats.stochasticprocess.univariate.sde.XtAdaptedFunction

XtHat - Variable in class com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.InnovationAlgorithmImpl

the one-step ahead predictors, {X^_t+1}

XtHat(int) - Method in class com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.InnovationAlgorithmImpl

Get the one-step prediction X^_t+1.

XtHat() - Method in class com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.InnovationAlgorithmImpl

Get all the one-step predictions X^_t+1, t ∈ [0, t]

XtHat(int) - Method in class com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.InnovationAlgorithm

Get the one-step prediction X^_t+1.

XtHat() - Method in class com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.InnovationAlgorithm

Get all the one-step predictions X^_t+1, t ∈ [0, t]