Difference between revisions of "Pareto"

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[[Category:Doc Status C]] <!-- For Lumina use, do not change -->
 
[[Category:Doc Status C]] <!-- For Lumina use, do not change -->
 
   
 
   
= Pareto(a,b) =
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== Pareto(a, b) ==
  
 
The Pareto distribution.   
 
The Pareto distribution.   
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The "classic" use of the Pareto distribution is to model the distribution of wealth in a society, under an assumption that a smaller percentage of the people own a larger percentage of the wealth (e.g., 20% of the population control 80% of the wealth).
 
The "classic" use of the Pareto distribution is to model the distribution of wealth in a society, under an assumption that a smaller percentage of the people own a larger percentage of the wealth (e.g., 20% of the population control 80% of the wealth).
  
 
The Pareto distribution is appropriate for a variety of "population" models.  Examples: The size of objects in a population (e.g., grains of sand),  value of assets in a collection of assets, file sizes, word frequencies, number of acquaintances of a given person, etc.
 
The Pareto distribution is appropriate for a variety of "population" models.  Examples: The size of objects in a population (e.g., grains of sand),  value of assets in a collection of assets, file sizes, word frequencies, number of acquaintances of a given person, etc.
  
= Library =
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== Library ==
 
 
 
Distribution Variations.ana
 
Distribution Variations.ana
  
 
''You must use '''Add Library...''' and select this library before using [[Pareto]](..).''
 
''You must use '''Add Library...''' and select this library before using [[Pareto]](..).''
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==See Also==
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* [[Normal]]
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* [[Gaussian]]
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* [[Distribution Densities Library]]

Revision as of 01:20, 28 January 2016


Pareto(a, b)

The Pareto distribution.

The "classic" use of the Pareto distribution is to model the distribution of wealth in a society, under an assumption that a smaller percentage of the people own a larger percentage of the wealth (e.g., 20% of the population control 80% of the wealth).

The Pareto distribution is appropriate for a variety of "population" models. Examples: The size of objects in a population (e.g., grains of sand), value of assets in a collection of assets, file sizes, word frequencies, number of acquaintances of a given person, etc.

Library

Distribution Variations.ana

You must use Add Library... and select this library before using Pareto(..).

See Also

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