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