Pareto 80/20 Law: Derivation via Random Partitioning

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Bibliographic Details
Title: Pareto 80/20 Law: Derivation via Random Partitioning
Language: English
Authors: Lipovetsky, Stan
Source: International Journal of Mathematical Education in Science and Technology. Jan 2009 40(2):271-277.
Availability: Taylor & Francis, Ltd. 325 Chestnut Street Suite 800, Philadelphia, PA 19106. Tel: 800-354-1420; Fax: 215-625-2940; Web site: http://www.tandf.co.uk/journals
Peer Reviewed: Y
Physical Description: PDF
Page Count: 7
Publication Date: 2009
Document Type: Journal Articles
Reports - Descriptive
Descriptors: Computation, Monte Carlo Methods, Mathematical Concepts, Nonparametric Statistics, Mathematical Logic, Funding Formulas
DOI: 10.1080/00207390802213609
ISSN: 0020-739X
Abstract: The Pareto 80/20 Rule, also known as the Pareto principle or law, states that a small number of causes (20%) is responsible for a large percentage (80%) of the effect. Although widely recognized as a heuristic rule, this proportion has not been theoretically based. The article considers derivation of this 80/20 rule and some other standard quotients from the mean and its interval estimation for the total value defined by the product of two variables in the random partitioning model. (Contains 2 figures.)
Abstractor: As Provided
Number of References: 22
Entry Date: 2009
Accession Number: EJ829592
Database: ERIC
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Description
Abstract:The Pareto 80/20 Rule, also known as the Pareto principle or law, states that a small number of causes (20%) is responsible for a large percentage (80%) of the effect. Although widely recognized as a heuristic rule, this proportion has not been theoretically based. The article considers derivation of this 80/20 rule and some other standard quotients from the mean and its interval estimation for the total value defined by the product of two variables in the random partitioning model. (Contains 2 figures.)
ISSN:0020-739X
DOI:10.1080/00207390802213609