Uses of Class
bb.science.Bootstrap.Estimate

Packages that use Bootstrap.Estimate
bb.science Provides classes and interfaces for mathematical and scientific programming. 
 

Uses of Bootstrap.Estimate in bb.science
 

Fields in bb.science with type parameters of type Bootstrap.Estimate
private  ConcurrentHashMap<Bootstrap.Estimator,Bootstrap.Estimate> Bootstrap.estimatorToEstimate
           
 

Methods in bb.science that return Bootstrap.Estimate
 Bootstrap.Estimate Bootstrap.getEstimate(Bootstrap.Estimator estimator)
          Returns the Bootstrap.Estimate which corresponds to estimator.
 Bootstrap.Estimate Bootstrap.getEstimate(String estimatorName)
          Returns the first Bootstrap.Estimate which corresponds to estimator with the same name as estimatorName.
private  Bootstrap.Estimate Bootstrap.UnitTest.CiTask.getEstimateTheory(Bootstrap.Estimator estimator, double[] sample)
           
 Bootstrap.Estimate Bootstrap.UnitTest.Distribution.getMeanEst(double[] sample, double confidenceLevel)
          Returns a theoretically known Estimate for the mean given sample.
 Bootstrap.Estimate Bootstrap.UnitTest.GaussianStandard.getMeanEst(double[] sample, double confidenceLevel)
          
 Bootstrap.Estimate Bootstrap.UnitTest.CauchyStandard.getMeanEst(double[] sample, double confidenceLevel)
           
 Bootstrap.Estimate Bootstrap.UnitTest.ExponentialStandard.getMeanEst(double[] sample, double confidenceLevel)
           See this discussion (the solution is in the middle of the page; the original solution is claimed to be found in Kapur, K.
 Bootstrap.Estimate Bootstrap.UnitTest.Distribution.getMedianEst(double[] sample, double confidenceLevel)
          Returns a theoretically known Estimate for the median of this sample.
 Bootstrap.Estimate Bootstrap.UnitTest.DistributionAbstract.getMedianEst(double[] sample, double confidenceLevel)
          Implements an amazing theoretical result for the median confidence interval which is valid for any distribution, and only assumes iid for the samples.
 Bootstrap.Estimate Bootstrap.UnitTest.Distribution.getSdEst(double[] sample, double confidenceLevel)
          Returns a theoretically known Estimate for the sd of this sample.
 Bootstrap.Estimate Bootstrap.UnitTest.GaussianStandard.getSdEst(double[] sample, double confidenceLevel)
          
 Bootstrap.Estimate Bootstrap.UnitTest.CauchyStandard.getSdEst(double[] sample, double confidenceLevel)
           
 Bootstrap.Estimate Bootstrap.UnitTest.ExponentialStandard.getSdEst(double[] sample, double confidenceLevel)
           
 

Methods in bb.science that return types with arguments of type Bootstrap.Estimate
private  ConcurrentHashMap<Bootstrap.Estimator,Bootstrap.Estimate> Bootstrap.calcEstimates_BCa(Bootstrap.Estimator[] estimators)
          Performs a bootstrap calculation, determining one Bootstrap.Estimate for each element of estimators.
private  ConcurrentHashMap<Bootstrap.Estimator,Bootstrap.Estimate> Bootstrap.calcEstimates_percentile(Bootstrap.Estimator[] estimators)
          Performs a bootstrap calculation, determining one Bootstrap.Estimate for each element of estimators.
private  ConcurrentHashMap<Bootstrap.Estimator,Bootstrap.Estimate> Bootstrap.calcEstimates(Bootstrap.Estimator[] estimators)
           
 

Methods in bb.science with parameters of type Bootstrap.Estimate
private  void Bootstrap.UnitTest.CiResult.Metrics.process(Bootstrap.Estimate estBs, Bootstrap.Estimate estTheory)
           
private  void Bootstrap.UnitTest.CoverageResult.Metrics.process(Bootstrap.Estimate estimate, double valueTrue)
           
 

Method parameters in bb.science with type arguments of type Bootstrap.Estimate
private  void Bootstrap.UnitTest.CiResult.include(Bootstrap.UnitTest.CiTask task, Map<Bootstrap.Estimator,Bootstrap.Estimate> resultsBs, Map<Bootstrap.Estimator,Bootstrap.Estimate> resultsTheory)
           
private  void Bootstrap.UnitTest.CiResult.include(Bootstrap.UnitTest.CiTask task, Map<Bootstrap.Estimator,Bootstrap.Estimate> resultsBs, Map<Bootstrap.Estimator,Bootstrap.Estimate> resultsTheory)
           
private  void Bootstrap.UnitTest.CoverageResult.include(Bootstrap.UnitTest.CoverageTask task, Map<Bootstrap.Estimator,Bootstrap.Estimate> estimatorToEstimate)