ParaMonte Fortran 2.0.0
Parallel Monte Carlo and Machine Learning Library
See the latest version documentation. |

pm_sampleMean.F90 File Reference

Go to the source code of this file.

## Data Types | |

interface | pm_sampleMean::getMean |

Generate and return the (weighted) mean of an input `sample` of `nsam` observations with `ndim = 1 or 2` attributes, optionally weighted by the input `weight` .More... | |

interface | pm_sampleMean::setMean |

Return the (weighted) mean of a pair of time series or of an input `sample` of `nsam` observations with `ndim = 1 or 2` attributes, optionally weighted by the input `weight` , optionally also `sum(weight)` and optionally, `sum(weight**2)` .More... | |

interface | pm_sampleMean::getMeanMerged |

Generate and return the (weighted) merged mean of a sample resulting from the merger of two separate (weighted) samples \(A\) and \(B\). More... | |

interface | pm_sampleMean::setMeanMerged |

Return the (weighted) merged mean of a sample resulting from the merger of two separate (weighted) samples \(A\) and \(B\). More... | |

## Modules | |

module | pm_sampleMean |

This module contains classes and procedures for computing the first moment (i.e., the statistical mean) of random weighted samples. | |

## Variables | |

character(*, SK), parameter | pm_sampleMean::MODULE_NAME = "@pm_sampleMean" |