FoldedNormalDistribution Methods

Creates a new object that is a copy of the current instance.

Gets the complementary cumulative distribution function (ccdf) for this distribution evaluated at point x. This function is also known as the Survival function.

Gets the cumulative hazard function for this distribution evaluated at point x.

Gets the cumulative distribution function (cdf) for this distribution evaluated at point x.

Gets the cumulative distribution function (cdf) for this distribution in the semi-closed interval (a; b] given as P(a < X ≤ b).

Determines whether the specified object is equal to the current object.

Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection.

Fits the underlying distribution to a given set of observations.

Fits the underlying distribution to a given set of observations.

Fits the underlying distribution to a given set of observations.

Fits the underlying distribution to a given set of observations.

Fits the underlying distribution to a given set of observations.

Fits the underlying distribution to a given set of observations.

Generates a random observation from the current distribution.

Generates a random vector of observations from the current distribution.

Generates a random observation from the current distribution.

Generates a random vector of observations from the current distribution.

Generates a random vector of observations from the current distribution.

Generates a random vector of observations from the current distribution.

Serves as the default hash function.

Gets the distribution range within a given percentile.

Gets the Type of the current instance.

Creates a new Half-normal distribution with the givenstdDev. The half-normal distribution is a special case of the FoldedNormalDistribution when location is zero.

Gets the hazard function, also known as the failure rate or the conditional failure density function for this distribution evaluated at point x.

Gets the complementary cumulative distribution function (ccdf) for this distribution evaluated at point x. This function is also known as the Survival function.

Gets the cumulative distribution function (cdf) for this distribution evaluated at point x.

Gets the inverse of the cumulative distribution function (icdf) for this distribution evaluated at probability p. This function is also known as the Quantile function.

Gets the log-probability density function (pdf) for this distribution evaluated at point x.

Gets the probability density function (pdf) for this distribution evaluated at point x.

Gets the inverse of the cumulative distribution function (icdf) for this distribution evaluated at probability p. This function is also known as the Quantile function.

Gets the log of the cumulative hazard function for this distribution evaluated at point x.

Gets the log-probability density function (pdf) for this distribution evaluated at point x.

Creates a shallow copy of the current Object.

Gets the probability density function (pdf) for this distribution evaluated at point x.

Gets the first derivative of the inverse distribution function (icdf) for this distribution evaluated at probability p.

Returns a String that represents this instance.

Returns a String that represents this instance.

Returns a String that represents this instance.

Returns a String that represents this instance.

Checks whether an object implements a method with the given name.

Compares two objects for equality, performing an elementwise comparison if the elements are vectors or matrices.

Converts an object into another type, irrespective of whether the conversion can be done at compile time or not. This can be used to convert generic types to numeric types during runtime.

Converts an object into another type, irrespective of whether the conversion can be done at compile time or not. This can be used to convert generic types to numeric types during runtime.