Represents the logistic distribution..
Namespace: Extreme.Statistics.Distributions
Assembly: Extreme.Numerics (Extreme.Numerics)
Syntax
| Visual Basic (Declaration) |
|---|
Public Class LogisticDistribution _ Inherits ContinuousDistribution |
| C# |
|---|
public class LogisticDistribution : ContinuousDistribution |
| C++ |
|---|
public ref class LogisticDistribution : public ContinuousDistribution |
Methods
| Icon | Type | Description |
|---|---|---|
 | DistributionFunction(Double) |
Evaluates the cumulative distribution function
(CDF) of this distribution for the specified value.
|
| Equals(Object) | |
 | Finalize() | |
| GetExpectedHistogram(Double[](), Double) |
Gets a Histogram whose bins contain the expected number of samples
for a given total number of samples.
|
| GetExpectedHistogram(Double, Double, Int32, Double) |
Gets a Histogram whose bins contain the expected number of samples
for a given total number of samples.
|
| GetHashCode() | Serves as a hash function for a particular type. |
 | GetRandomVariate(Random, Double, Double) |
Returns a single random variate from a logistic distribution
with the specified parameters.
|
| GetRandomVariate(Random) |
Returns a random sample from the distribution.
|
| GetRandomVariates(Random, Vector) |
Fills a Vector with random numbers.
|
| GetRandomVariates(Random, Double[]()) |
Fills a Double array with random numbers.
|
| GetRandomVariates(Random, Double[](), Int32, Int32) |
Fills a Double array with random numbers.
|
| GetRandomVariates(Random, Vector, Int32, Int32) |
Fills a Double array with random numbers.
|
| GetType() | Gets the Type of the current instance. |
| InverseDistributionFunction(Double) |
Returns the sample value at the specified percentile.
|
| MemberwiseClone() | Creates a shallow copy of the current Object. |
| Probability(Double, Double) |
Returns the probability that a sample taken from the
distribution lies inside the specified interval.
|
| ProbabilityDensityFunction(Double) |
Returns the value of the probability density function
(PDF) of this distribution for the specified value.
|
| SurvivorDistributionFunction(Double) |
Evaluates the survivor distribution function
(SDF) of this distribution for the specified value.
|
| ToString() |
Constructors
| Icon | Type | Description |
|---|---|---|
| LogisticDistributionNew(Double, Double) |
Constructs a new LogisticDistribution with
the specified location and scale parameters.
|
Properties
| Icon | Type | Description |
|---|---|---|
 | InterQuartileRange |
Returns the inter-quartile range of this distribution.
|
| IsSymmetrical |
Gets a value that indicates whether the distribution is known to be symmetrical around the mean.
|
| Kurtosis |
Gets the kurtosis of the distribution.
|
| LocationParameter |
Gets the location parameter of the distribution.
|
| Mean |
Gets the mean or expectation value of the distribution.
|
| ScaleParameter |
Gets the scale parameter of the distribution.
|
| Skewness |
Gets the skewness of the distribution.
|
| StandardDeviation |
Gets the standard deviation of the distribution.
|
| Variance |
Gets the variance of the distribution.
|
Remarks
The logistic distribution can be used to model growth.
In many processes, the growth is slow at the beginning,
picks up in the middle, and slows down again when approaching a saturation point.
The logistic distribution has two parameters: a LocationParameter and a ScaleParameter.
Examples
Population growth and the market share of a new product can both be modeled
using the logistic distribution.
Inheritance Hierarchy
System.Object
Extreme.Statistics.Distributions.Distribution
Extreme.Statistics.Distributions.ContinuousDistribution
Extreme.Statistics.Distributions.LogisticDistribution
Extreme.Statistics.Distributions.Distribution
Extreme.Statistics.Distributions.ContinuousDistribution
Extreme.Statistics.Distributions.LogisticDistribution
