KStat/com.github.polyrocketmatt.kstat.distributions.discrete/BinomialDistribution

BinomialDistribution

class BinomialDistribution(n: Int, p: Double) : DiscreteDistribution

Represents the bernoulli distribution.

Since

1.0.0

Author

Matthias Kovacic

Parameters

n

The number of trials.

p

The probability of success.

See also

Throws

If p is not between 0 and 1.

Constructors

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constructor(n: Int, p: Double)

Creates a new binomial distribution.

Functions

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open override fun cdf(x: Double): SingleRange

Returns the cumulative distribution function (CDF) of the distribution.

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open override fun entropy(type: Distribution.EntropyType): Double

Returns the entropy of the distribution.

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open operator override fun equals(other: Any?): Boolean
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open override fun fisherInformation(n: Int): DoubleArray

Returns the Fisher information of the distribution.

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fun getSeed(): Int

Returns the seed used to generate the distribution.

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open override fun hashCode(): Int
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fun isContinuous(): Boolean

Returns true if the distribution is continuous.

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fun isDiscrete(): Boolean

Returns true if the distribution is discrete.

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open override fun kurtosis(): Double

Returns the kurtosis of the distribution.

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open override fun mad(): Double

Returns the mean absolute deviation (MAD) of the distribution.

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open override fun mean(): Double

Returns the mean of the distribution.

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open override fun median(): SingleRange

Returns the median of the distribution.

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open override fun mgf(): (Int) -> Double

Returns the moment generating function (MGF) of the distribution.

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open override fun mode(): SingleRange

Returns the mode of the distribution.

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open override fun moment(n: Int): Double

Returns the n-th moment of the distribution.

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open override fun pdf(x: Double): SingleRange

Returns the probability density function (PDF) of the distribution.

fun pdf(x: Int): SingleRange
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open override fun quantile(x: Double): SingleRange

Returns the quantile of the distribution.

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open override fun sample(vararg support: Double): Double

Returns a sample that is binomially distributed.

open override fun sample(n: Int, vararg support: Double): DoubleArray

Returns n samples that are normally distributed.

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open override fun skewness(): Double

Returns the skewness of the distribution.

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open override fun stddev(): Double

Returns the standard deviation of the distribution.

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open override fun toString(): String
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open override fun variance(): Double

Returns the variance of the distribution.