Uses of Package
com.imsl.stat
Packages that use com.imsl.stat
Package
Description
Utilities used by the library.
Data mining and machine learning.
Neural networks.
Mathematical functions and algorithms.
Statistical methods.
Probability distributions and parameter estimation.
Data mining examples.
Statistics examples.
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Classes in com.imsl.stat used by com.imsl
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Classes in com.imsl.stat used by com.imsl.dataminingClassDescriptionPublic interface for a user-supplied probability distribution.Generate uniform and non-uniform random number distributions.
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Classes in com.imsl.stat used by com.imsl.datamining.neural
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Classes in com.imsl.stat used by com.imsl.mathClassDescriptionAnalysis of Variance table and related statistics.Generate uniform and non-uniform random number distributions.Interface implemented by generators of random or quasi-random multidimensional sequences.
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Classes in com.imsl.stat used by com.imsl.statClassDescriptionAnalysis of Variance table and related statistics.The input triangular matrix is singular.The problem is ill-conditioned.The bound for the relative error is too small.The input matrix is singular.The iteration has not made good progress.The residuals have become too large in one step of the Least Squares estimation of the ARMA coefficients.The number of calls to the function has exceeded the maximum number of iterations times the number of moving average (MA) parameters + 1.Maximum number of function evaluations exceeded.Maximum number of iterations exceeded.Maximum number of Jacobian evaluations exceeded.The solution is noninvertible.The solution is nonstationary.No appropriate ARIMA model could be found.The problem is ill-conditioned.The ClassificationVariable vector has not been initialized.The Classification Variable limit set by the user through
setUpperBoundhas been exceeded.The number of distinct values for each Classification Variable must be greater than 1.The number of observations to be deleted (set bysetObservationMax) has grown too large.The model has been determined to be rank deficient.Public interface for the user-supplied cumulative distribution function to be used by InverseCdf and ChiSquaredTest.The function is not a Cumulative Distribution Function (CDF).There is a cluster with no pointsConvergence did not occur within the maximum number of iterations.Deprecated.Deprecated.Frequencies must be nonnegative.Weights must be nonnegative.Deprecated.The problem is ill-conditioned.Perform a DBSCAN cluster analysis.Class that holds the minimum number of points and epsilon parameters of theDBSCANalgorithm.Public interface for the user-supplied function to compute the distances between points.The variance-covariance matrix is singular.There are no observations in a group.The sum of the weights have become negative.No variable has positive variance.The computations cannot continue because a scale factor is zero.The computations cannot continue because the Euclidean norm of the column is equal to zero.Public interface for the user-supplied distribution function.Abstract class for extended GARCH models.An enumeration of the types of solvers available to the estimation procedure.Public interface for specifying the distribution of \(z_t\).Bad variance error.Eigenvalue error.Non positive eigenvalue error.Matrix not positive definite.Covariance matrix not positive semi-definite.Hessian matrix not semi-definite.Rank of covariance matrix error.Indicates which method is used for computing the factor score coefficients.Covariance matrix singular error.The equality constraints are inconsistent.The equality constraints and the bounds on the variables are found to be inconsistent.No vector X satisfies all of the constraints.Number of function evaluations exceeded 1000.The variables are determined by the equality constraints.The iteration did not convergeInner ClassCaseStatisticsallows for the computation of predicted values, confidence intervals, and diagnostics for detecting outliers and cases that greatly influence the fitted regression.Contains statistics related to the regression coefficients.The problem is ill-conditioned.Performs metric multidimensional scaling using the Euclidean or individual differences model.A Hessian matrix is ill-defined.The number of positive eigenvalues of the double-centered distance matrix is too small.Public interface for the user supplied function forNonlinearRegression.A negative frequency was encountered.A negative weight was encountered.The number of iterations has exceeded the maximum allowed.There is no variation in the input data.Exception thrown if a computed correlation is greater than one for some pair of variables.Exception thrown if a computed partial correlation is greater than one for some pair of variables.The magnitude of alternating series sum is too small relative to the sum of positive terms to permit a reliable accuracy.Public interface for a user-supplied probability distribution.The Classification Variable limit set by the user throughsetUpperBoundhas been exceeded.Generate uniform and non-uniform random number distributions.Base pseudorandom number.Interface implemented by generators of random or quasi-random multidimensional sequences.Public interface for user supplied function toUserBasisRegressionobject.No Variables can enter the model.Statisticscontains statistics related to the regression coefficients.CoefficientTTests()contains statistics related to the student-t test, for each regression coefficient.Cycling is occurring.No Variables can enter the model.Tallies the number of unique values of each variable.Tallies the frequency of each cell inx.A specialized class for time series data and analysis.Public enum of methods for combining synchronous time series values.Public interface for the user-supplied function that defines how to combine two synchronous time series values.Public enum of merge rules that defines how two time series should be merged.The form of the alternate hypothesis. -
Classes in com.imsl.stat used by com.imsl.stat.distributions
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Classes in com.imsl.stat used by com.imsl.test.example.dataminingClassDescriptionPublic interface for the user-supplied distribution function.Public interface for a user-supplied probability distribution.
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Classes in com.imsl.stat used by com.imsl.test.example.statClassDescriptionPublic interface for the user-supplied cumulative distribution function to be used by InverseCdf and ChiSquaredTest.