ParaMonte Fortran 2.0.0
Parallel Monte Carlo and Machine Learning Library
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pm_sampleVar.F90 File Reference

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Data Types

interface  pm_sampleVar::getVarCorrection
 Generate and return the bias correction factor for the computation of the variance of a (weighted) sample.
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interface  pm_sampleVar::getVar
 Generate and return the variance of the input sample of type complex or real of shape (nsam) or (ndim, nsam) or (nsam, ndim) where ndim is the number of data dimensions (the number of data attributes) and nsam is the number of data points.
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interface  pm_sampleVar::setVar
 Return the variance of an input (weighted) sample of type complex or real of shape (nsam) or (ndim, nsam) or (nsam, ndim) where ndim is the number of data dimensions (the number of data attributes) and nsam is the number of data points.
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interface  pm_sampleVar::setVarMean
 Return the (weighted) sample variance and mean of an input time series of nsam observations, or of an input sample of nsam observations with ndim attributes optionally weighted by the input weight, optionally also sum(weight).
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interface  pm_sampleVar::getVarMerged
 Generate and return the (weighted) merged variance of a complex or real sample resulting from the merger of two separate (weighted) samples \(A\) and \(B\).
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interface  pm_sampleVar::setVarMerged
 Return the (weighted) merged variance of a complex or real sample resulting from the merger of two separate (weighted) samples \(A\) and \(B\).
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interface  pm_sampleVar::setVarMeanMerged
 Return the (weighted) merged variance and mean of a complex or real sample resulting from the merger of two separate (weighted) samples \(A\) and \(B\).
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Modules

module  pm_sampleVar
 This module contains classes and procedures for computing the properties related to the covariance matrices of a random sample.

 

Variables

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