PoissonDistribution class

The Poisson distribution is a discrete probability distribution that expresses the probability of a given number of events occurring in a fixed interval of time or space if these events occur with a known constant mean rate and independently of the time since the last event.

See https://en.wikipedia.org/wiki/Poisson_distribution.

Inheritance

Constructors

PoissonDistribution(double lambda)
A poisson distribution with parameter lambda λ.
const

Properties

defaultToStringPrinter → ObjectPrinter
Override to configure the empty ObjectPrinter.
no setterinherited
hashCode int
The hash code for this object.
no setteroverride
kurtosisExcess double
Returns the excess kurtosis.
no setteroverride
lambda double
The parameter λ (rate, inverse scale).
final
lowerBound int
Returns the lower boundary of the distribution.
no setterinherited
mean double
Returns the mean value of the distribution.
no setteroverride
median double
Returns the median value of the distribution.
no setteroverride
mode double
Returns the mode, a value that appears most commonly in the set of values.
no setteroverride
runtimeType Type
A representation of the runtime type of the object.
no setterinherited
skewness double
Returns the skewness of the distribution.
no setteroverride
standardDeviation double
Returns the expected standard deviation.
no setterinherited
support → Interval<int>
Returns the domain of the distribution.
no setteroverride
toStringPrinter → ObjectPrinter
Override and call super to add values to the ObjectPrinter.
no setter
upperBound int
Returns the upper boundary of the distribution.
no setterinherited
variance double
Returns the expected variance.
no setteroverride

Methods

cumulativeProbability(int k) double
The Cumulative Distribution Function (CDF).
inherited
inverseCumulativeProbability(num p) int
The Inverse Cumulative Distribution Function (PPT), or quantile function.
inherited
inverseSurvival(num p) int
Inverse Survival Function (ISF).
inherited
noSuchMethod(Invocation invocation) → dynamic
Invoked when a nonexistent method or property is accessed.
inherited
probability(int k) double
The Probability Density/Mass Function (PDF/PMF).
override
sample({Random? random}) int
Returns a single sample of a random value within the distribution.
override
samples({Random? random}) Iterable<int>
Returns an infinite source of random samples within the distribution.
inherited
survival(int x) double
The Survival Function (SF), or Complementary cumulative distribution function.
inherited
toString() String
Standard toString implementation. Do not override, instead implement toStringPrinter to customize.
inherited

Operators

operator ==(Object other) bool
The equality operator.
override