case class Multinomial(p: Array[Double] = Array (.4, .7, 1.0), n: Int = 5, stream: Int = 0) extends VariateVec with Product with Serializable
The Multinomial
class generates random variate vectors following the
multinomial distribution. This discrete RV models the multinomial trials,
which generalize Bernoulli trials ({0, 1} to the case where the outcome is
in {0, 1, ..., k-1}.
- p
array of cumulative probabilities as CDF values
- n
the number of independent trials
- stream
the random number stream
- See also
http://www.math.uah.edu/stat/bernoulli/Multinomial.html
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Instance Constructors
-
new
Multinomial(p: Array[Double] = Array (.4, .7, 1.0), n: Int = 5, stream: Int = 0)
- p
array of cumulative probabilities as CDF values
- n
the number of independent trials
- stream
the random number stream
Value Members
-
def
discrete: Boolean
Determine whether the distribution is discrete or continuous.
Determine whether the distribution is discrete or continuous.
- Definition Classes
- VariateVec
-
final
def
flaw(method: String, message: String): Unit
Show the flaw by printing the error message.
Show the flaw by printing the error message.
- method
the method where the error occurred
- message
the error message
- Definition Classes
- Error
-
def
gen: VectoD
Determine the next random double vector for the particular distribution.
Determine the next random double vector for the particular distribution.
- Definition Classes
- Multinomial → VariateVec
-
def
igen: VectoI
Determine the next random integer vector for the particular distribution.
Determine the next random integer vector for the particular distribution. It is only valid for discrete random variates.
- Definition Classes
- Multinomial → VariateVec
-
val
mean: VectoD
- Definition Classes
- Multinomial → VariateVec
- val n: Int
- val p: Array[Double]
-
def
pf(z: VectoD): Double
Compute the probability function (pf): The probability density function (pdf) for continuous RVV's or the probability mass function (pmf) for discrete RVV's.
Compute the probability function (pf): The probability density function (pdf) for continuous RVV's or the probability mass function (pmf) for discrete RVV's.
- z
the mass point/vector whose probability is sought
- Definition Classes
- Multinomial → VariateVec
- val stream: Int