cmbdistribution.h File Reference

#include <vector>
#include "TimeSeries.h"

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Classes
class	Distribution
	Represents a parametric probability distribution for uncertainty quantification. More...

Enumerations
enum class	distribution_type {   normal , lognormal , dirichlet , none ,   uniform }
	Enumeration of probability distribution types supported in SedSat3. More...
enum class	parameter_mode { direct , based_on_fitted_distribution }
	Specifies whether to use direct data statistics or fitted distribution parameters. More...

Enumeration Type Documentation

distribution_type

enum class distribution_type

strong

Enumeration of probability distribution types supported in SedSat3.

Defines the statistical distributions available for modeling uncertainty in tracer concentrations, parameter priors, and observational errors.

Enumerator
normal	Normal (Gaussian) distribution: p(x) = N(μ, σ²)
lognormal	Lognormal distribution: ln(x) ~ N(μ, σ²), for strictly positive variables.
dirichlet	Dirichlet distribution (treated as uniform on simplex in current implementation)
none	No distribution assigned (uninitialized state)
uniform	Uniform distribution on [0,1].

Definition at line 14 of file cmbdistribution.h.

parameter_mode

enum class parameter_mode

strong

Specifies whether to use direct data statistics or fitted distribution parameters.

Controls how mean/variance are calculated from a Distribution object:

• direct: Use empirical statistics from original data (mean_val, std_val)
• based_on_fitted_distribution: Calculate from distribution parameters

Enumerator
direct	Use empirical statistics from data.
based_on_fitted_distribution	Calculate from fitted distribution parameters.

Definition at line 30 of file cmbdistribution.h.