Documentation
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Overview ¶
Package distribution defines interfaces to be implemented by packages that implement random variables
Index ¶
Constants ¶
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Variables ¶
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Functions ¶
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Types ¶
type Distribution ¶
type Distribution interface {
// Init initializes a given Distribution with the supplied PRNG Engine and
// distribution parameters
Init(prng.Engine, ...float64)
// Float64 returns the next random number satisfying the underlying
// probability distribution
Float64() float64
// PDF or probability distribution function returns the relative likelihood
// for the random variable to take on the given value
PDF(float64) float64
// CDF or cumulative distribution function returns the probability that
// a real-valued random variable X of the probability distribution will be
// found to have a value less than or equal to x
CDF(float64) float64
// GetParams returns the current parameters of the Distribution
GetParams() []float64
}
Distribution is an interface for a random variable of a probability distribution
Source Files
Directories
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| Path | Synopsis |
|---|---|
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Package cauchy implements a cauchy continuous random variable
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Package cauchy implements a cauchy continuous random variable |
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internal
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distribtest
Package distribtest defines utilities for testing Distributions
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Package distribtest defines utilities for testing Distributions |
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mathutils
Package mathutils defines math and statistics utilities for developing probability distributions
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Package mathutils defines math and statistics utilities for developing probability distributions |
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Package lognormal implements a lognormal continuous random variable
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Package lognormal implements a lognormal continuous random variable |
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Package normal implements a normal continuous random variable
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Package normal implements a normal continuous random variable |
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Package uniform implements a uniform continuous random variable
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Package uniform implements a uniform continuous random variable |
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