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#Com.numericalmethod.suanshu.stats.random.variancereduction Classes and Interfaces - 5 results found.
| Name | Description | Type | Package | Framework |
| AntitheticVariates | The antithetic variates technique consists, for every sample path obtained, in taking its antithetic path - that is given a path (varepsilon_1,dots,varepsilon_M) to also take, for | Class | com.numericalmethod.suanshu.stats.random.variancereduction | SuanShu |
| CommonRandomNumbers | The common random numbers is a variance reduction technique to apply when we are comparing two random systems, e. | Class | com.numericalmethod.suanshu.stats.random.variancereduction | SuanShu |
| ControlVariates | Control variates method is a variance reduction technique that exploits information about the errors in estimates of known quantities to reduce the error of an estimate of an unknown | Class | com.numericalmethod.suanshu.stats.random.variancereduction | SuanShu |
| ControlVariates .Estimator | Interface | com.numericalmethod.suanshu.stats.random.variancereduction | SuanShu | |
| ImportanceSampling | Importance sampling is a general technique for estimating properties of a particular distribution, while only having samples generated from a different distribution rather than the | Class | com.numericalmethod.suanshu.stats.random.variancereduction | SuanShu |