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ParaMonte Fortran 2.0.0
Parallel Monte Carlo and Machine Learning Library
See the latest version documentation. |
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ParaMonte Fortran 2.0.0
Parallel Monte Carlo and Machine Learning Library
See the latest version documentation. |
Go to the source code of this file.
Data Types | |
| type | pm_distPareto::distPareto_type |
| This is the derived type for signifying distributions that are of type Pareto as defined in the description of pm_distPareto. More... | |
| interface | pm_distPareto::getParetoLogPDFNF |
| Generate and return the natural logarithm of the normalization factor of the PDF of the (Truncated) Pareto distribution for an input parameter set \((\alpha, x_\mathrm{min}, x_\mathrm{max})\). More... | |
| interface | pm_distPareto::getParetoLogPDF |
Generate and return the natural logarithm of the Probability Density Function (PDF) of the (Truncated) Pareto distribution for an input log(x) within the support of the distribution \(x \in [0 < x_\mathrm{min}, x_\mathrm{max} < +\infty]\). More... | |
| interface | pm_distPareto::setParetoLogPDF |
Return the natural logarithm of the Probability Density Function (PDF) of the (Truncated) Pareto distribution for an input log(x) within the support of the distribution \(x \in [0 < x_\mathrm{min}, x_\mathrm{max} < +\infty]\). More... | |
| interface | pm_distPareto::getParetoLogCDFNF |
| Generate and return the natural logarithm of the normalization factor of the CDF of the (Truncated) Pareto distribution for an input parameter set \((\alpha, x_\mathrm{min}, x_\mathrm{max})\). More... | |
| interface | pm_distPareto::getParetoLogCDF |
Generate and return the natural logarithm of the Cumulative Distribution Function (CDF) of the (Truncated) Pareto distribution for an input log(x) within the support of the distribution \(x \in [0 < x_\mathrm{min}, x_\mathrm{max} < +\infty]\). More... | |
| interface | pm_distPareto::setParetoLogCDF |
Return the natural logarithm of the Cumulative Distribution Function (CDF) of the (Truncated) Pareto distribution for an input log(x) within the support of the distribution \(x \in [0 < x_\mathrm{min}, x_\mathrm{max} < +\infty]\). More... | |
| interface | pm_distPareto::getParetoLogQuan |
| Generate and return a scalar (or array of arbitrary rank) of the natural logarithm(s) of quantile corresponding to the specified CDF of (Truncated) Pareto distribution with parameters \((\alpha, x_\mathrm{min}, x_\mathrm{max})\). More... | |
| interface | pm_distPareto::setParetoLogQuan |
| Return a scalar (or array of arbitrary rank) of the natural logarithm(s) of quantile corresponding to the specified CDF of (Truncated) Pareto distribution with parameters \((\alpha, x_\mathrm{min}, x_\mathrm{max})\). More... | |
| interface | pm_distPareto::getParetoLogRand |
| Generate and return a scalar (or array of arbitrary rank) of the natural logarithm(s) of random value(s) from the (Truncated) Pareto distribution with parameters \((\alpha, x_\mathrm{min}, x_\mathrm{max})\). More... | |
| interface | pm_distPareto::setParetoLogRand |
| Return a scalar (or array of arbitrary rank) of the natural logarithm(s) of random value(s) from the (Truncated) Pareto distribution with parameters \((\alpha, x_\mathrm{min}, x_\mathrm{max})\). More... | |
Modules | |
| module | pm_distPareto |
| This module contains classes and procedures for computing various statistical quantities related to the (Truncated) Pareto distribution. | |
Variables | |
| character(*, SK), parameter | pm_distPareto::MODULE_NAME = "@pm_distPareto" |
1.9.3