statistics-0.16.1.2: A library of statistical types, data, and functions
Copyright (c) 2009 Bryan O'Sullivan
License BSD3
Maintainer bos@serpentine.com
Stability experimental
Portability portable
Safe Haskell None
Language Haskell2010

Statistics.Distribution.Exponential

Description

The exponential distribution. This is the continuous probability distribution of the times between events in a Poisson process, in which events occur continuously and independently at a constant average rate.

Synopsis

Documentation

data ExponentialDistribution Source #

Instances

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Eq ExponentialDistribution Source #
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Data ExponentialDistribution Source #
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Read ExponentialDistribution Source #
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Show ExponentialDistribution Source #
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Generic ExponentialDistribution Source #
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ToJSON ExponentialDistribution Source #
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FromJSON ExponentialDistribution Source #
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Binary ExponentialDistribution Source #
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ContGen ExponentialDistribution Source #
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Entropy ExponentialDistribution Source #
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MaybeEntropy ExponentialDistribution Source #
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Variance ExponentialDistribution Source #
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MaybeVariance ExponentialDistribution Source #
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Mean ExponentialDistribution Source #
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MaybeMean ExponentialDistribution Source #
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ContDistr ExponentialDistribution Source #
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Distribution ExponentialDistribution Source #
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FromSample ExponentialDistribution Double Source #

Create exponential distribution from sample. Returns Nothing if sample is empty or contains negative elements. No other tests are made to check whether it truly is exponential.

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type Rep ExponentialDistribution Source #
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type Rep ExponentialDistribution = D1 (' MetaData "ExponentialDistribution" "Statistics.Distribution.Exponential" "statistics-0.16.1.2-IkOne9g3oJ1vhHVSRLPUO" ' True ) ( C1 (' MetaCons "ED" ' PrefixI ' True ) ( S1 (' MetaSel (' Just "edLambda") ' NoSourceUnpackedness ' NoSourceStrictness ' DecidedLazy ) ( Rec0 Double )))

Constructors

exponential Source #

Arguments

:: Double

Rate parameter.

-> ExponentialDistribution

Create an exponential distribution.

exponentialE Source #

Arguments

:: Double

Rate parameter.

-> Maybe ExponentialDistribution

Create an exponential distribution.

Accessors