LogNormalDistribution class

Log-normal distribution of a random variable whose logarithm is normally distributed.

See https://en.wikipedia.org/wiki/Log-normal_distribution.

Inheritance

Constructors

LogNormalDistribution(double mu, double sigma)
A log-normal distribution with parameters mu μ and sigma σ.
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
lowerBound double
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
mu double
The parameter μ (mean of logarithm).
final
runtimeType Type
A representation of the runtime type of the object.
no setterinherited
sigma double
final
skewness double
Returns the skewness of the distribution.
no setteroverride
standardDeviation double
Returns the expected standard deviation.
no setterinherited
support → Interval<double>
Returns the domain of the distribution.
no setteroverride
toStringPrinter → ObjectPrinter
Override and call super to add values to the ObjectPrinter.
no setter
upperBound double
Returns the upper boundary of the distribution.
no setterinherited
variance double
Returns the expected variance.
no setteroverride

Methods

cumulativeProbability(double x) double
The Cumulative Distribution Function (CDF).
override
inverseCumulativeProbability(num p) double
The Inverse Cumulative Distribution Function (PPT), or quantile function.
override
inverseSurvival(num p) double
Inverse Survival Function (ISF).
inherited
noSuchMethod(Invocation invocation) → dynamic
Invoked when a nonexistent method or property is accessed.
inherited
probability(double x) double
The Probability Density/Mass Function (PDF/PMF).
override
sample({Random? random}) double
Returns a single sample of a random value within the distribution.
override
samples({Random? random}) Iterable<double>
Returns an infinite source of random samples within the distribution.
override
survival(double 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