Statistical distribution modelling: Function, methods and application to air quality management

Bai Jun; A. J. Jakeman; J. A. Taylor

doi:10.1016/0378-4754(88)90097-3

Statistical distribution modelling: Function, methods and application to air quality management

Bai Jun^*, A. J. Jakeman, J. A. Taylor

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

6 Citations (Scopus)

Abstract

The function of statistical distribution modelling is presented including its advantages and limitations. A simple framework is provided to indicate how methods of distribution identification and parameter estimation can be chosen. The application of air quality management is used to demonstrate these points.

Original language	English
Pages (from-to)	3-9
Number of pages	7
Journal	Mathematics and Computers in Simulation
Volume	30
Issue number	1-2
DOIs	https://doi.org/10.1016/0378-4754(88)90097-3
Publication status	Published - Feb 1988

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title = "Statistical distribution modelling: Function, methods and application to air quality management",

abstract = "The function of statistical distribution modelling is presented including its advantages and limitations. A simple framework is provided to indicate how methods of distribution identification and parameter estimation can be chosen. The application of air quality management is used to demonstrate these points.",

author = "Bai Jun and Jakeman, {A. J.} and Taylor, {J. A.}",

year = "1988",

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AU - Taylor, J. A.

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N2 - The function of statistical distribution modelling is presented including its advantages and limitations. A simple framework is provided to indicate how methods of distribution identification and parameter estimation can be chosen. The application of air quality management is used to demonstrate these points.

AB - The function of statistical distribution modelling is presented including its advantages and limitations. A simple framework is provided to indicate how methods of distribution identification and parameter estimation can be chosen. The application of air quality management is used to demonstrate these points.

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DO - 10.1016/0378-4754(88)90097-3

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JO - Mathematics and Computers in Simulation

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Statistical distribution modelling: Function, methods and application to air quality management

Abstract

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