Map_scvKt

All Implemented Interfaces:


public final class Map_scvKt

Nested Class Summary

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Field Summary

Fields
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Constructor Summary

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Enum Constant Summary

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Method Summary

Modifier and Type	Method	Description
`final static Double`	`map_scv(Matrix D0, Matrix D1)`	Computes the squared coefficient of variation (SCV) of the inter-arrival times of a Markovian Arrival Process (MAP).
`final static Double`	`map_scv(MatrixCell MAP)`	Computes the squared coefficient of variation (SCV) of the inter-arrival times of a MAP stored in a MatrixCell that contains the MAP's transition matrices.

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

- Constructor Detail
- Method Detail
  - map_scv
```
 final static Double map_scv(Matrix D0, Matrix D1)
```
    Computes the squared coefficient of variation (SCV) of the inter-arrival times of a Markovian Arrival Process (MAP).
    The SCV is a normalized measure of the dispersion of the inter-arrival time distribution. It is calculated as the variance of the inter-arrival times divided by the square of the mean inter-arrival time. The MAP is represented by two matrices: D0 and D1, where D0 is the hidden transition matrix and D1 is the visible transition matrix.
    
    Parameters:
    
    D0 - the hidden transition matrix of the MAP
    
    D1 - the visible transition matrix of the MAP
    
    Returns:
    
    the squared coefficient of variation (SCV) of the inter-arrival times
  - map_scv
```
 final static Double map_scv(MatrixCell MAP)
```
    Computes the squared coefficient of variation (SCV) of the inter-arrival times of a MAP stored in a MatrixCell that contains the MAP's transition matrices.
    
    Parameters:
    
    MAP - a MatrixCell containing the transition matrices D0 and D1 of the MAP
    
    Returns:
    
    the squared coefficient of variation (SCV) of the inter-arrival times