scalation.random.RandomVecTrend
The RandomVecTrend class generates random variate vectors useful for for creating synthetic time-series data. Applies an additive noise model.
Value parameters
dim
the dimension/size of the vector (number of elements)
noise
the ditribution/variate used to produce the random noise
stream
the random number stream
trend
the function representing deterministic component of the time-series
Attributes
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Supertypes
trait Serializable
trait Product
trait Equals
class Object
trait Matchable
class Any
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Members list
Determine the next random double vector for the particular distribution.
Determine the next random double vector for the particular distribution.
Attributes
Determine the next random integer vector for the particular distribution. It is only valid for discrete random variates.
Determine the next random integer vector for the particular distribution. It is only valid for discrete random variates.
Attributes
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.
Value parameters
z
the mass point/vector whose probability is sought
Attributes
Determine whether the distribution is discrete or continuous.
Determine whether the distribution is discrete or continuous.
Attributes
Inherited from:
VariateVec
Attributes
Inherited from:
Product
Attributes
Inherited from:
Product
Compute the vector mean for the particular distribution.
Compute the vector mean for the particular distribution.
Attributes