Map_idcKt

All Implemented Interfaces:


public final class Map_idcKt

Nested Class Summary

Nested Classes
Modifier and Type	Class	Description

Field Summary

Fields
Modifier and Type	Field	Description

Constructor Summary

Constructors
Constructor	Description

Enum Constant Summary

Enum Constants
Enum Constant	Description

Method Summary

Modifier and Type	Method	Description
`final static Double`	`map_idc(Matrix D0, Matrix D1)`	Computes the asymptotic index of dispersion (IDC) for a Markovian Arrival Process (MAP).
`final static Double`	`map_idc(MatrixCell MAP)`	Computes the asymptotic index of dispersion (IDC) for 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_idc
```
 final static Double map_idc(Matrix D0, Matrix D1)
```
    Computes the asymptotic index of dispersion (IDC) for a Markovian Arrival Process (MAP).
    The asymptotic index of dispersion is defined as:
    <pre> I = SCV(1 + 2 * sum(\rho_k)) </pre> *
    where SCV is the squared coefficient of variation, and \rho_k is the lag-k autocorrelation coefficient of inter-arrival times. It represents the limiting value of the index of dispersion for counts (IDC) and the index of dispersion for intervals (IDI).
    
    Parameters:
    
    D0 - the hidden transition matrix of the MAP
    
    D1 - the visible transition matrix of the MAP
    
    Returns:
    
    the asymptotic index of dispersion
  - map_idc
```
 final static Double map_idc(MatrixCell MAP)
```
    Computes the asymptotic index of dispersion (IDC) for 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 asymptotic index of dispersion