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Comparison of Sum of Two Correlated Gamma Variables for Alouini's Model and McKay Distribution

Roslinazairimah, Zakaria and J. W., Boland and Nor Hafizah, Moslim (2013) Comparison of Sum of Two Correlated Gamma Variables for Alouini's Model and McKay Distribution. In: 20th International Congress on Modelling and Simulation, 1-6 December 2013 , Adelaide, Australia. pp. 408-414..

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Abstract

A statistical model for rainfall is useful to describe the relationship between rainfall at a given location and other weather-related variables. It is also able to provide a principled way to quantify the uncertainty that associates rainfall processes, which is crucial to the efficient design of environmental projects and to improve crop production. Various statistical models have been used for rainfall such as a right-skewed distribution including the exponential, gamma or mixed-exponential to model the rainfall intensities and Markov chain model to model rainfall occurrences.

Item Type: Conference or Workshop Item (Speech)
Uncontrolled Keywords: McKay distribution; Alouini’s model; Correlated gamma variables; Rainfall model
Subjects: Q Science > Q Science (General)
Q Science > QA Mathematics
Faculty/Division: Faculty of Industrial Sciences And Technology
Depositing User: Mrs. Neng Sury Sulaiman
Date Deposited: 05 Nov 2014 03:22
Last Modified: 28 Jun 2018 08:26
URI: http://umpir.ump.edu.my/id/eprint/6646
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