TimeVariate

abstract def gen: Double

Determine the next random number for the particular distribution.

abstract def meanF(tt: Double): Double

Compute the mean as a function of time.

abstract def pf(z: Int, aa: Double, bb: Double): Double

abstract def pf(z: Int, tt: Double): Double

abstract def pf(z: Int): Double

abstract def reset(): Unit

Reset the time-based process to the beginning.

final def !=(arg0: AnyRef): Boolean

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: AnyRef): Boolean

final def ==(arg0: Any): Boolean

val MAXFAC: Int

var _discrete: Boolean

Indicates whether the distribution is discrete or continuous (default)

final def asInstanceOf[T0]: T0

def clone(): AnyRef

def count(a: Double, b: Double): Int

def count(tt: Double): Int

Comute the mean as a function of time.

def discrete: Boolean

Determine whether the distribution is discrete or continuous.

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def finalize(): Unit

def flaw(method: String, message: String): Unit

Show the flaw by printing the error message.

final def getClass(): Class[_]

def hashCode(): Int

def igen: Int

Determine the next random integer for the particular distribution.

final def isInstanceOf[T0]: Boolean

val mean: Double

Pre-compute the mean for the particular distribution.

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

def pf(z: Double): Double

Compute the probability function (pf): The probability density function (pdf) for continuous RV's or the probability mass function (pmf) for discrete RV's.

def pmf(k: Int = 0): Array[Double]

Return the entire probability mass function (pmf) for finite discrete RV's.

val r: Random

Random number stream selected by the stream number

final def synchronized[T0](arg0: ⇒ T0): T0

def toString(): String

final def wait(): Unit

final def wait(arg0: Long, arg1: Int): Unit

final def wait(arg0: Long): Unit