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        <ns3:IAO_0000117 xml:lang="en">Alejandra Gonzalez-Beltran</ns3:IAO_0000117>
        <ns3:IAO_0000117 xml:lang="en">Orlaith Burke</ns3:IAO_0000117>
        <ns3:IAO_0000117 xml:lang="en">Philippe Rocca-Serra</ns3:IAO_0000117>
        <ns3:IAO_0000115 xml:lang="en">The Pareto distribution is a continuous probability distribution, which is defined by the follwoing probability density (1) function and distribution function (2)

(1): P(x)=(ab^a)/(x^(a+1))	

(2): D(x)=1-(b/x)^a	

defined over the interval x&gt;=b.</ns3:IAO_0000115>
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http://mathworld.wolfram.com/ParetoDistribution.html

last accessed: 2015-11-04</ns3:IAO_0000119>
        <ns3:STATO_0000041 xml:lang="en">http://artax.karlin.mff.cuni.cz/r-help/library/LaplacesDemon/html/dist.Pareto.html

last accessed: 2015-11-04

Usage

&gt;dpareto(x, alpha, log=FALSE)
&gt;ppareto(q, alpha)
&gt;qpareto(p, alpha)
&gt;rpareto(n, alpha)


Arguments

x,q	
These are each a vector of quantiles.

p	
This is a vector of probabilities.

n	
This is the number of observations, which must be a positive integer that has length 1.

alpha	
This is the shape parameter alpha, which must be positive.

log	
Logical. If log=TRUE, then the logarithm of the density or result is returned.</ns3:STATO_0000041>
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