Package jline.api.fj

Class FJ_char_max

java.lang.Object

jline.api.fj.FJ_char_max

public final class FJ_char_max
extends Object

Method Summary

Modifier and Type	Method	Description
static CharMaxResult	fj_char_max_erlang(int K, int kStages, double mu)	Characteristic maximum M_K for Erlang-k distribution.
static CharMaxResult	fj_char_max_exp(int K, double mu)	Characteristic maximum M_K for exponential distribution.
static CharMaxResult	fj_char_max_general(int K, DoubleUnaryOperator S_X)	Characteristic maximum M_K for a general distribution given by its survival function S_X(x) = P(X > x) (the MATLAB 'general' branch of fj_char_max): m_K solves S_X(m_K) = 1/K and M_K = m_K + K * integral_{m_K}^{inf} S_X(x) dx.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Method Details

fj_char_max_exp

public static CharMaxResult fj_char_max_exp(int K,
 double mu)

Characteristic maximum M_K for exponential distribution.

fj_char_max_erlang

public static CharMaxResult fj_char_max_erlang(int K,
 int kStages,
 double mu)

Characteristic maximum M_K for Erlang-k distribution.

fj_char_max_general

public static CharMaxResult fj_char_max_general(int K,
 DoubleUnaryOperator S_X)

Characteristic maximum M_K for a general distribution given by its survival function S_X(x) = P(X > x) (the MATLAB 'general' branch of fj_char_max): m_K solves S_X(m_K) = 1/K and M_K = m_K + K * integral_{m_K}^{inf} S_X(x) dx.

Parameters:

K - number of random variables (positive integer)

S_X - survival function handle

Returns:

[MK, mK]