case class Trinomial(p: Double = 1.0/3.0, q: Double = 1.0/3.0, n: Int = 5, stream: Int = 0) extends Variate with Product with Serializable
This class generates Trinomial random variates. While Binomial is based on
trials with two outcomes, success (1) or failure (0). Trinomial is based on
trials with three outcomes, high (2), medium (1) or low (0).
This discrete RV models the result of 'n' trials.
- p
the probability of high (2)
- q
the probability of medium (1)
- n
the number of independent trials
- stream
the random number stream
- See also
onlinecourses.science.psu.edu/stat414/node/106 FIX - fails distribution test - maybe due to 'pf' method
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Instance Constructors
-
new
Trinomial(p: Double = 1.0/3.0, q: Double = 1.0/3.0, n: Int = 5, stream: Int = 0)
- p
the probability of high (2)
- q
the probability of medium (1)
- 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
- Variate
-
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: Double
Determine the next random number for the particular distribution.
-
def
gen1(z: Double): Double
Determine the next random number for the particular distribution.
-
def
igen: Int
Determine the next random integer for the particular distribution.
Determine the next random integer for the particular distribution. It is only valid for discrete random variates.
- Definition Classes
- Variate
-
def
igen1(z: Double): Int
Determine the next random integer for the particular distribution.
Determine the next random integer for the particular distribution. It is only valid for discrete random variates. This version allows one parameter.
- z
the limit parameter
- Definition Classes
- Variate
- val mean: Double
- val n: Int
- val p: Double
- def pf(k: Int, l: Int): Double
- def pf(y: Double, z: Double): Double
-
def
pf(z: Double): Double
Compute the probability function (pf): Either (a) the probability density function (pdf) for continuous RV's or (b) 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.
- val q: Double
-
def
sgen: String
Determine the next random string for the particular distribution.
Determine the next random string for the particular distribution. For better random strings, overide this method.
- Definition Classes
- Variate
-
def
sgen1(z: Double): String
Determine the next random string for the particular distribution.
Determine the next random string for the particular distribution. For better random strings, overide this method. This version allows one parameter.
- z
the limit parameter
- Definition Classes
- Variate
- val stream: Int