Trinomial

final def !=(arg0: AnyRef): Boolean

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: AnyRef): Boolean

final def ==(arg0: Any): Boolean

var _discrete: Boolean

Indicates whether the distribution is discrete or continuous (default)

final def asInstanceOf[T0]: T0

def canEqual(arg0: Any): Boolean

def clone(): AnyRef

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.

def gen: Double

Determine the next random number for the particular distribution.

final def getClass(): java.lang.Class[_]

def hashCode(): Int

def igen: Int

Determine the next random integer for the particular distribution.

final def isInstanceOf[T0]: Boolean

def mean: Double

Compute the mean for the particular distribution.

val n: Int

the number of independent trials

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

val p: Double

the probability of high (2)

def pf(k: Int, l: Int): Double

def pf(y: Double, z: Double): Double

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): Array[Double]

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

def productArity: Int

def productElement(arg0: Int): Any

def productIterator: Iterator[Any]

def productPrefix: String

val q: Double

the probability of medium (1)

val r: Random

Random number stream selected by the stream number

val stream: Int

the random number stream

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

def productElements: Iterator[Any]