Me_scvKt

All Implemented Interfaces:


public final class Me_scvKt

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Enum Constant Summary

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Method Summary

Modifier and Type	Method	Description
`final static Double`	`me_scv(Matrix alpha, Matrix A)`	Computes the squared coefficient of variation (SCV) of a Matrix Exponential (ME) distribution.
`final static Double`	`me_scv(MatrixCell ME)`	Computes the squared coefficient of variation (SCV) of an ME distribution using matrices stored in a MatrixCell.

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Constructor Detail
- Method Detail
  - me_scv
```
 final static Double me_scv(Matrix alpha, Matrix A)
```
    Computes the squared coefficient of variation (SCV) of a Matrix Exponential (ME) distribution.
    The SCV is calculated as: SCV = variance / mean^2
    
    Parameters:
    
    alpha - The initial vector of the ME distribution
    
    A - The matrix parameter of the ME distribution
    
    Returns:
    
    The squared coefficient of variation of the ME distribution
  - me_scv
```
 final static Double me_scv(MatrixCell ME)
```
    Computes the squared coefficient of variation (SCV) of an ME distribution using matrices stored in a MatrixCell.
    This is a convenience method that computes the SCV using the process representation.
    
    Parameters:
    
    ME - The Matrix Exponential distribution stored in a MatrixCell
    
    Returns:
    
    The squared coefficient of variation of the ME distribution