The following interfaces are included into the Stat assembly:
Interface | Brief description | |
The IArimaSpecification interface determines the parameters of the ARIMA method specification. | ||
The IArimaSpecificationInitialValues interface determines initial values of the parameters of the ARIMA method specification. | ||
The IAutomaticLagSelectionSettings property is used to work with parameters of lag autoselection. | ||
The IBinaryModelRelevanceMeasure interface is used to work with binary classification quality criteria. | ||
The IBinaryTreeNode interface is used to work with a collection of trees. | ||
The IBinaryTreeGradientBoosted interface is used to work with two dimensional tree array calculated with gradient boosting. | ||
The IBinaryTreeNode interface is used to work with nodes of binary tree. |
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The IBinningSettings interface is used to work with parameters of the Binning procedure. | ||
The IBinningSettingsInt interface is used to work with Binning procedure parameters, executed for categorical series. | ||
The ICensus2PeriodBegin interface determines parameters of period start for the X11 method. | ||
The ICallbackNLOptimization interface is used to work with the custom class used to calculate values of variables, criterion function and non-linear constraints. | ||
The ICensus2Results interface returns resultant series for the X11 method. | ||
The ICensus2SigmaLevel interface determines Sigma bounds for the X11 method. | ||
The IChowTestLinRegress interface returns parameters of linear regression for the Chow test. | ||
The IClustersCompositionOrder interface returns the sequence of cluster composition. | ||
The IClustersCompositionOrderItem interface returns parameters of the cluster composition step. | ||
The IClustersType interface returns the cluster sequence. | ||
The IClusterType interface returns cluster properties. | ||
The ICoefficients interface returns parameters of the model coefficients. | ||
The ICrossValidation interface is used to set up cross-validation parameters | ||
The ICrossValidationPerformanceScores interface is used to work with cross-validation results | ||
The ICurveEstimationExplanatory interface determines parameters of the explanatory series. | ||
The IDataMining interface is used to work with data mining methods. | ||
The IDependenceForm interface determines parameters of the dependence form. | ||
The IDependenceForms interface returns dependence forms collection. | ||
The IDistribution interface is used to work with distribution. It is basic for all distributions. | ||
The IExponentialSmoothingAutoSearch interface determines settings for automatic search of parameters for the exponential smoothing. | ||
The IExponentialSmoothingBestTrialMethod interface determines settings of the best trial method for automatic search of the exponential smoothing parameters. | ||
The IExponentialSmoothingParameters interface determines the exponential smoothing parameters. | ||
The IExponentialSmoothingQuickestDescentMethod interface determines settings for the quickest descent method for automatic search of the exponential smoothing parameters. | ||
The IForecast interface determines the forecast parameters. | ||
The IGARCHCoefficients interface determines the GARCH model coefficients parameters. | ||
The IHACOptions interface is used to set up long-run covariance options. | ||
The IHolidays interface is used to account for the holiday adjustments. | ||
The IIntercept interface determines the model constant parameters. | ||
The IJohansenTestEquation interface determines the parameters of the Johansen test equation (endogenous variable). | ||
The IJohansenTestEquations interface contains properties and methods used to work with the collection of Johansen test equations (endogenous variables). | ||
The IJohansenTestReport interface returns the results of the Johansen test. | ||
The Stat Assembly Interfaces interface is used to work with a parameter in the LINDO module. | ||
The ILindoParamUnits interface is used to work with collection of parameters in the LINDO module. | ||
The ILindoSettings interface is used to set up parameters of the LINDO module. | ||
The ILinearProgrammingInitApproximation interface determines the initial values. | ||
The ILinearRegressionAutoSelection interface determines the parameters of automatic selection of explanatory variables for linear regression. | ||
The IMCMCParameters interface is used to work with parameters of the Markov chain Monte Carlo algorithm. | ||
The IMissingData interface determines the parameters of missing data treatment. | ||
The IMLESettings interface is used to work with the method of maximum likelihood. | ||
The IModelCoefficients interface determines model coefficients. | ||
The IMSGARCHCoefficients interface is used to work with MS-GARCH coefficients. | ||
The IMSGARCHParameter interface is used to work with MS-GARCH constants. | ||
The INonLinearConstraint interface determines the parameters of the non-linear constraint. | ||
The INonLinearConstraints interface contains properties and methods used to work with the collection of non-linear constraints. | ||
The INonLinearRegressionExplanatories interface determines the parameters of the collection of regressors for non-linear LSM. | ||
The INonLinearRegressionExplanatory interface determines the parameters of the explanatory series for the non-linear LSM. | ||
The IPerformanceInfo interface is used to work with information about optimization methods execution. | ||
The IQPExtraSettings interface is used to set additional settings required on the use of the Gurobi solver. | ||
The IQRegStatistics interface determines characteristics of quantile regression. | ||
The IROCcurve interface is used to work with ROC curve. | ||
The ISeasonal interface determines the parameters of the seasonal component. | ||
The ISlAnalysis interface determines the analysis parameters. | ||
The ISlARMA interface contains properties used to work with the parameters of autoregression and moving average. | ||
The ISlARMAGARCH interface is used to set up ARIMA for GARCH model. | ||
The ISlBoundaryRegion interface determines the domain parameters. | ||
The ISlConstCoefficients interface returns the coefficient or constant parameters. | ||
The ISlDistance interface is used to work with parameters of calculating distance between objects. | ||
The ISlEquation interface determines the parameters for the equation. | ||
The ISlEquations interface determines parameters of the equation collection. | ||
The ISlFisherTestSample interface determines parameters of the sample considered in the Fisher test. | ||
The ISlFrequentItemset interface is used to work with frequent element sets obtained as the result of data mining using the Association Analysis method. | ||
The ISlGDLTerms interface is used to set parameters of estimating the Koyck distributed lags. | ||
The ISlInfluence interface is used to work with characteristics of an influence on the dependent variable. | ||
The ISlLinearConstraint interface determines the parameters of the linear constraint. | ||
The ISlLinearConstraints interface contains properties and methods used to work with the linear constraints collection. | ||
The ISlMovingAverage interface determines the moving average parameters. | ||
The ISlOutliers interface is used to work with the collection of data outliers. | ||
The ISlPDLTerm interface is used to work with lag variable. | ||
The ISlPDLTermCollection interface is used to work with a collection of lag variables. | ||
The ISlQualitySet interface contains properties used to work with characteristics describing the quality of a selected binary model value. | ||
The ISlQualityTable interface contains properties and methods used to work with the collection of values describing the quality of binary model selection. | ||
The ISlRecommendationRule interface is used to work with the rule obtained as the result of data mining using the Association Analysis method. | ||
The ISlSerie interface determines the data series parameters. | ||
The ISlSerieInt interface is used to work with categorical series parameters. | ||
The ISlSeries interface determines parameters of the data series collection. | ||
The ISlSeriesInt interface is used to work with parameters of the categorical data series collection. | ||
The ISlSimultaneousEquation interface determines the simultaneous equation parameters. | ||
The ISlSimultaneousEquations interface determines parameters of the equation collection. | ||
The ISlTramoSeatsExogenousCollection interface is used to work with a collection of exogenous equations. | ||
The ISlTramoSeatsExogenousVar interface is used to work with settings of exogenous variable. | ||
The ISlTramoSeatsOutlier interface is used to work with the TRAMO-SEATS outliers. | ||
The ISlTramoSeatsOutliersCollection interface is used to work with a collection of outliers. | ||
The ISlTreeNode interface is used to work with a decision tree node. | ||
The ISlTreeNodes interface is used to work with a collection of decision tree nodes. | ||
The ISm2SLS interface implements the method of instrumental variables used to estimate the linear regression coefficients. | ||
The ISmARCHTest interface is used to work with parameters of the ARCH test for heteroscedasticity. | ||
The ISmAssociationRules interface is used for data mining using the Association Analysis method. | ||
The ISmAugmentDickeyFullerTest interface determines parameters of the augmented Dickey-Fuller test. | ||
The ISmAutoCorrelation interface determines autocorrelation analysis parameters. | ||
The ISmAutoRegress interface determines the autoregression parameters. | ||
The ISmBackPropagation interface is used for data mining using the Backpropagation Network method. | ||
The ISmBandpassFilter interface determines parameters of the Baxter-King filter. | ||
The ISmBetaDistribution interface enables the user to generate a sample of pseudo-random numbers from beta distribution with selected parameters. | ||
The ISmBinaryModel interface is used to determine the parameters of the binary regression method. | ||
The ISmBinning interface is used to work with the Binning procedure. | ||
The ISmBinomialDistribution interface enables the user to generate a sample of pseudo-random numbers from discrete binomial distribution with selected parameters. | ||
The ISmBoxConstrainedOptimization interface is used to work with parameters of the method of gradient descent used for optimization of random type function at specified direct constraints for variables. | ||
The ISmBreuschPaganGodfreyTest interface is used to work with parameters of the Breusch-Pagan-Godfrey test for heteroscedasticity. | ||
The ISmBreuschPaganTest interface is used to work with parameters of the Breusch-Pagan test. | ||
The ISmCART interface is used to cope with classification tasks using binary tree building. | ||
The ISmCauchyDistribution interface enables the user to generate a sample of pseudo-random numbers from the Cauchy distribution with selected location parameter (median) and scale parameter. | ||
The ISmCensoredTruncatedRegression interface is used to estimate linear regression with truncated or censored data. | ||
The ISmCensus1 interface determines parameters of the Census Imethod which singles out the seasonal component. | ||
The ISmCensus2 interface determines parameters of the X11 method which is an improved version of the seasonal decomposition and adjustment method called Census I. | ||
The ISmChi2Distribution interface enables the user to generate random number sampling from the χ2 (chi-square) distribution with the specified number of degrees of freedom. | ||
The ISmChowTest interface determines the parameters of the Chow test for the presence of structural changes. | ||
The ISmCointegratingRegression interface is used to work with cointegration regression. | ||
The ISmCointegrationEq interface determines the parameters of the error correction method. | ||
The ISmCurveEstimation interface is used to set up parameters of dependence form estimation. | ||
The ISmDecisionTree interface is used to substitute missing data in series values using a decision tree. | ||
The ISmDerivative interface is used to calculate derivatives. | ||
The ISmDickeyFullerGLSTest interface is used to work with parameters of the Dickey-Fuller generalized test. | ||
The ISmDiscriminantAnalysis interface is used for data mining using the Discriminatory Analysis method. | ||
The ISmElliotRothenbergStockTest interface is used to work with parameters of the Elliot-Rothenberg-Stock test (point optimal). | ||
The ISmEngleGrangerTest interface is used to work with parameters of the Engle-Granger test. | ||
The ISmErrorCorrectionModel interface determines the parameters of the error correction model (ECM). | ||
The ISmExponentialDistribution interface enables the user to generate a sample of pseudo-random numbers from exponential distribution with selected expected value. | ||
The ISmExponentialSmoothing interface determines the exponential smoothing method parameters. | ||
The ISmExpressionProvider interface determines source of an expression. | ||
The ISmFillGapsProcedure interface determines parameters of missing data treatment in data series. | ||
The ISmFisherDistribution interface enables the user to generate a sample of pseudo-random numbers from the Fisher distribution with two selected degrees of freedom. | ||
The ISmFisherTest interface determines the Fisher test parameters. | ||
The ISmGammaDistribution interface enables the user to generate a sample of pseudo-random numbers from the gamma distribution with selected shape and scale parameters. | ||
The ISmGARCH interface determines the parameters of the generalized autoregressive conditionally heteroscedastic model (GARCH model). | ||
The ISmGeneralizedExtremeValueDistribution interface is used to generate a sample of pseudo-random values from generalized distribution of extreme values. | ||
The ISmGeneralizedParetoDistribution interface is used to generate a sample of pseudo-random values from the generalized Pareto distribution. | ||
The ISmGeometricExtrapolation interface determines the parameters of geometric extrapolation. | ||
The ISmGradientBoostedTree interface is used to set up parameters of gradient boosting calculation. | ||
The ISmGrangerTest interface determines the parameters of Granger test. | ||
The ISmGreyForecast interface determines the parameters of the Grey forecast. | ||
The ISmHierarchicalClusterAnalysis interface is used to work with parameters of the hierarchical cluster analysis. | ||
The ISmHighlightExceptions interface is used for data mining using the Exception Search method. | ||
The ISmHodrickPrescottFilter interface determines the parameters of the Hodrick-Prescott filter. | ||
The ISmHyperGeometricDistribution interface enables user to generate (based on selected parameters) a sample of pseudo-random numbers from discrete hypergeometric distribution of the number of "successes" in a sample from a finite population that contains "successful elements" ("successes"). | ||
The ISmJohansenTest interface determines the parameters of the Johansen test. | ||
The ISmKmeansClusterAnalysis interface determines parameters for k-means clustering. | ||
The ISmKolmogorovSmirnovTest interface determines parameters of Kolmogorov-Smirnov test. | ||
The ISmKwiatkowskiPhillipsSchmidtShinTest interface is used to work with parameters of the Kwiatkowski-Phillips-Schmidt-Shin test. | ||
The ISmLIML interface is used to work with the maximum likelihood method with limited information and K-class estimation method. | ||
The ISmLinearEquations interface determines the parameters of the linear equations system. | ||
The ISmLinearProgramming interface determines the parameters of linear programming (simplex method). | ||
The ISmLinearRegress interface determines the parameters of the linear regression method. | ||
The ISmLogisticDistribution interface enables the user to generate a sample of pseudo-random numbers from logistic distribution with selected location parameter (median) and scale parameter. | ||
The ISmLogisticRegression interface is used for data mining using the Logistic Regression method. | ||
The ISmLogNormalDistribution interface enables the user to generate a sample of pseudo-random numbers from lognormal distribution with selected expected value and variance. | ||
The ISmLongRunCovariance interface is used to work with long-run covariance. | ||
The ISmLPSolveManager interface is used to set the path to LPSolve solver installed and integrated with Foresight Analytics Platform. | ||
The ISmLRXFilter interface determines the parameters of LRX filter. | ||
The ISmMarkovSwitchingGARCH interface is used to work with MS-GARCH model (Markov switching GARCH) with one variable parameter: average variance value. | ||
The ISmMedianSmoothing interface determines the parameters of median smoothing. | ||
The ISmMultiNormalDistribution interface enables the user to generate a sample of pseudo-random numbers from multivariate normal distribution. | ||
The ISmNaiveBayes interface is used to find key influencers using the naive Bayes classifier. | ||
The ISmNgPerronTest interface is used to work with parameters of the Ng-Perron test. | ||
The ISmNonLinearEquations interface determines the parameters of the non-linear equations system. | ||
The ISmNonLinearLeastSquare interface determines the parameters of the non-linear least squares method. | ||
The ISmNonLinearOptimization interface determines the parameters of optimization of an arbitrary function under non-linear constraints. | ||
The ISmNormalDistribution interface enables the user to generate a vector of pseudo-random numbers based on normal distribution with selected average value (expected value) and variance. | ||
The ISmOmittedVariablesTest interface determines the parameters of omitted variables test. | ||
The ISmPairCorrelation interface determines the parameters of pair correlation coefficients calculation. | ||
The ISmParetoDistribution interface determines the parameters of the Pareto distribution. | ||
The ISmPartialCorrelation interface determines the parameters of partial correlation coefficients calculation. | ||
The ISmPhilipsOularisTest interface is used to work with parameters of the Phillips-Oularis test. | ||
The ISmPhilipsPerronTest interface is used to work with parameters of the Phillips-Perron test. | ||
The ISmPoissonDistribution interface enables the user to generate a sample of pseudo-random integer numbers from the discrete Poisson distribution with specified intensity of events. | ||
The ISmPooledModel interface determines parameters of Panel data regression. | ||
The ISmPrincipalComponentAnalysis interface determines the parameters of principal component analysis method. | ||
The ISmQPortions interface returns the values of the median, quartiles, percentiles and deciles for a certain sample. | ||
The ISmQuadraticProgramming interface implements the task of quadratic programming. | ||
The ISmQuantileRegression interface implements quantile regression method. | ||
The ISmR interface is used for integration with R. | ||
The ISmRamseyRESSETTest interface determines the parameters of the Ramsey Regression Equation Specification Error Test (RESET test). | ||
The ISmRandomForest interface is used to work with the Random Forest decision tree ensemble. | ||
The ISmRedundantVariablesTest interface determines the parameters of redundant variables test. | ||
The ISmRManager interface is used to set the path to the installed and integrated with Foresight. Analytics Platform R package. | ||
The ISmRollingRegression interface is used to work with parameters of moving regression. | ||
The ISmSelfOrganizingMap interface is used for data clustering using self-organizing Kohonen maps. | ||
The ISmSerialCorrelationLMTest interface determines the parameters of the Godfrey criterion of residual autocorrelation of linear regression model. | ||
The ISmSimultaneousSystem interface is used to solve a system of simultaneous equations. | ||
The ISmSingularSpectrumAnalysis interface is used to perform singular spectrum analysis of time series. | ||
The ISmSlideSmoothing interface determines moving average parameters. | ||
The ISmStudentDistribution interface enables the user to generate a sample of pseudo-random numbers from the Student's distribution with selected number of degrees of freedom. | ||
The ISmTramoSeats interface is used to work with the statistical methods TRAMO and SEATS. | ||
The ISmUniformDistribution interface enables the user to generate a sample of pseudo-random numbers from continuous uniform distribution at the range [a, b]. | ||
The ISmunivariateSpectrumAnalysis interface determines the parameters of spectrum analysis. | ||
The ISmVarianceAnalysis interface determines the parameters of variance analysis. | ||
The ISmVectorAutoRegress interface determines the parameters for vector autoregression calculation or for impulse response function calculation. | ||
The ISmWeibullDistribution interface enables the user to generate a sample of pseudo-random numbers from the two-parameter Weibull distribution with selected shape and scale parameters. | ||
The ISmWhiteHeteroskedasticityTest interface determines the parameters of the White test for heteroscedasticity. | ||
The ISmx12arima interface is used to work with the X12 method of seasonal adjustment. | ||
The ISpecificationTestStatistic interface returns the values for test. | ||
The ISpectrumStatistics interface returns spectrum statistics. | ||
The IStatistics interface contains properties and methods used to work with statistics characteristics and functions. | ||
The IStatMethod interface contains properties and methods of the statistics method. | ||
The IStatMethodValid interface is used to set up and perform cross-validation. | ||
The IStatPeriod interface determines the parameters of the sample period. | ||
The ISummaryStatistics interface returns statistics characteristics. | ||
The ITreeSpecification interface is used to work with parameters describing tree size. | ||
The IUnitRootTestStatistic interface is used to work with test statistic for unit root tests. | ||
The IVarianceAnalysisDegreeOfFreedom interface returns the results of variance analysis: the number of degrees of freedom. | ||
The IVarianceAnalysisStatistics interface returns the results of variance analysis. | ||
The IVarianceAnalysisSumSquared interface returns the results of variance analysis: sum of squared deviations. | ||
The IVarianceAnalysisUnbiasedEstimation interface returns the results of variance analysis: unbiased estimation of the sum of squared deviations. | ||
The IVARStatistics interface returns statistics of vector autoregression. |
See also:
Stat Assembly Enumerations | Stat Assembly Classes | Examples