|
| Name | Description |
|---|
 | Cdf |
Evaluates the cumulative distribution function
(CDF) of this distribution for the specified value.
(Inherited from ContinuousDistribution.) |
| DistributionFunction |
Evaluates the cumulative distribution function
(CDF) of this distribution for the specified value.
(Overrides ContinuousDistributionDistributionFunction(Double).) |
| Equals | Determines whether the specified object is equal to the current object. (Inherited from Object.) |
 | Finalize | Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection. (Inherited from Object.) |
| GetAllModes |
Returns an array that contains all the modes of the distribution.
(Inherited from ContinuousDistribution.) |
| GetExpectationValue(FuncDouble, Double) |
Returns the expectation value of a function.
(Inherited from ContinuousDistribution.) |
| GetExpectationValue(FuncDouble, Double, Double, Double) |
Returns the un-normalized expectation value of a function over the specified interval.
(Inherited from ContinuousDistribution.) |
| GetExpectedHistogram(Double, Double) |
Gets a vector containing a histogram of the expected number of samples
for a given total number of samples.
(Inherited from ContinuousDistribution.) |
| GetExpectedHistogram(IntervalIndexDouble, Double) |
Gets a vector containing a histogram of the expected number of samples
for a given total number of samples.
(Inherited from ContinuousDistribution.) |
| GetExpectedHistogram(Double, Double, Int32, Double) |
Gets a vector whose bins contain the expected number of samples
for a given total number of samples.
(Inherited from ContinuousDistribution.) |
| GetHashCode | Serves as the default hash function. (Inherited from Object.) |
| GetRandomSequence |
Returns a sequence of random samples from the distribution.
(Inherited from ContinuousDistribution.) |
| GetRandomSequence(Random) |
Returns a sequence of random samples from the distribution.
(Inherited from ContinuousDistribution.) |
| GetRandomSequence(Random, Int32) |
Returns a sequence of random samples of the specified length from the distribution.
(Inherited from ContinuousDistribution.) |
| GetType | Gets the Type of the current instance. |
| HazardFunction |
Returns the probability of failure at the specified value.
(Inherited from ContinuousDistribution.) |
| InverseCdf | (Inherited from ContinuousDistribution.) |
| InverseDistributionFunction |
Returns the sample value at the specified percentile.
(Overrides ContinuousDistributionInverseDistributionFunction(Double).) |
| LeftTailProbability |
Returns the probability that a sample from the distribution
is less than the specified value.
(Inherited from ContinuousDistribution.) |
| LogProbabilityDensityFunction |
Returns the logarithm of the probability density function
(PDF) of this distribution for the specified value.
(Overrides ContinuousDistributionLogProbabilityDensityFunction(Double).) |
| MemberwiseClone | Creates a shallow copy of the current Object. |
| MomentFunction |
Returns the value of the moment function of the specified order.
(Overrides ContinuousDistributionMomentFunction(Int32, Double).) |
| Pdf |
Returns the value of the probability density function
(PDF) of this distribution for the specified value.
(Inherited from ContinuousDistribution.) |
| Probability |
Returns the probability that a sample taken from the
distribution lies inside the specified interval.
(Inherited from ContinuousDistribution.) |
| ProbabilityDensityFunction |
Returns the value of the probability density function
(PDF) of this distribution for the specified value.
(Overrides ContinuousDistributionProbabilityDensityFunction(Double).) |
| RightTailProbability |
Returns the probability that a sample from the distribution
is larger than the specified value.
(Inherited from ContinuousDistribution.) |
| Sample |
Returns a random sample from the distribution.
(Inherited from ContinuousDistribution.) |
| Sample(Int32) |
Returns a vector of random samples from the distribution.
(Inherited from ContinuousDistribution.) |
| Sample(Random) |
Returns a random sample from the distribution.
(Overrides ContinuousDistributionSample(Random).) |
| Sample(Int32, Random) |
Returns a vector of random samples from the distribution.
(Inherited from ContinuousDistribution.) |
 | Sample(Random, Double, Double) |
Returns a single random sample from a lognormal distribution
with the specified parameters.
|
| SampleInto(Random, IListDouble) |
Fills a list with random numbers from the distribution.
(Inherited from ContinuousDistribution.) |
| SampleInto(Random, IListDouble, Int32, Int32) |
Fills part of a list with random numbers from the distribution.
(Overrides ContinuousDistributionSampleInto(Random, IListDouble, Int32, Int32).) |
| SurvivorDistributionFunction |
Evaluates the survivor distribution function
(SDF) of this distribution for the specified value.
(Overrides ContinuousDistributionSurvivorDistributionFunction(Double).) |
| ToString | Returns a string that represents the current object. (Overrides ObjectToString.) |
| TwoTailedProbability |
Returns the probability that a sample from the distribution deviates from the mean more than
the specified value.
(Inherited from ContinuousDistribution.) |