| dataForPlot() | umontreal.ssj.mcqmctools.RQMCExperimentSeries | |
| dataLogForPlot() | umontreal.ssj.mcqmctools.RQMCExperimentSeries | |
| formatRegression(double[] regCoeff) | umontreal.ssj.mcqmctools.RQMCExperimentSeries | |
| getBase() | umontreal.ssj.mcqmctools.RQMCExperimentSeries | |
| getLogn() | umontreal.ssj.mcqmctools.RQMCExperimentSeries | |
| getLogVariances() | umontreal.ssj.mcqmctools.RQMCExperimentSeries | |
| getMeans() | umontreal.ssj.mcqmctools.RQMCExperimentSeries | |
| getSet(int i) | umontreal.ssj.mcqmctools.RQMCExperimentSeries | |
| getValuesn() | umontreal.ssj.mcqmctools.RQMCExperimentSeries | |
| getVariances() | umontreal.ssj.mcqmctools.RQMCExperimentSeries | |
| init(RQMCPointSet[] theSets, double base) | umontreal.ssj.mcqmctools.RQMCExperimentSeries | |
| regressionLogVariance(int numSkip) | umontreal.ssj.mcqmctools.RQMCExperimentSeries | |
| reportVarianceRate(int numSkip, boolean details) | umontreal.ssj.mcqmctools.RQMCExperimentSeries | |
| RQMCExperimentSeries() | umontreal.ssj.mcqmctools.RQMCExperimentSeries | |
| RQMCExperimentSeries(RQMCPointSet[] theSets, double base) | umontreal.ssj.mcqmctools.RQMCExperimentSeries | |
| setBase(double b) | umontreal.ssj.mcqmctools.RQMCExperimentSeries | |
| setExecutionDisplay(boolean display) | umontreal.ssj.mcqmctools.RQMCExperimentSeries | |
| testVarianceRate(MonteCarloModelDouble model, int m) | umontreal.ssj.mcqmctools.RQMCExperimentSeries | |
| testVarianceRateCV(MonteCarloModelCV model, int m) | umontreal.ssj.mcqmctools.RQMCExperimentSeries | |
| testVarianceRateManyPointTypes(MonteCarloModelDouble model, ArrayList< RQMCPointSet[]> list, int m, int numSkip, boolean makePgfTable, boolean printReport, boolean details, ArrayList< PgfDataTable > listCurves) | umontreal.ssj.mcqmctools.RQMCExperimentSeries | |
| toPgfDataTable(String tableName, String tableLabel) | umontreal.ssj.mcqmctools.RQMCExperimentSeries | |
| toString() | umontreal.ssj.mcqmctools.RQMCExperimentSeries | |