Comparison of Sum of Two Correlated Gamma Variables for Alouini's Model and McKay Distribution
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 en...
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ump-66462018-06-28T08:26:45Z http://umpir.ump.edu.my/id/eprint/6646/ Comparison of Sum of Two Correlated Gamma Variables for Alouini's Model and McKay Distribution Roslinazairimah, Zakaria J. W., Boland Nor Hafizah, Moslim Q Science (General) QA Mathematics 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. 2013 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/6646/1/Comparison_Of_Sum_Of_Two_Correlated_Gamma_Variables_For_Alouini%27s_Model_And_McKay_Distribution.pdf 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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English |
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Q Science (General) QA Mathematics |
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Q Science (General) QA Mathematics Roslinazairimah, Zakaria J. W., Boland Nor Hafizah, Moslim Comparison of Sum of Two Correlated Gamma Variables for Alouini's Model and McKay Distribution |
description |
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.
|
format |
Conference or Workshop Item |
author |
Roslinazairimah, Zakaria J. W., Boland Nor Hafizah, Moslim |
author_facet |
Roslinazairimah, Zakaria J. W., Boland Nor Hafizah, Moslim |
author_sort |
Roslinazairimah, Zakaria |
title |
Comparison of Sum of Two Correlated Gamma Variables for Alouini's Model and McKay Distribution |
title_short |
Comparison of Sum of Two Correlated Gamma Variables for Alouini's Model and McKay Distribution |
title_full |
Comparison of Sum of Two Correlated Gamma Variables for Alouini's Model and McKay Distribution |
title_fullStr |
Comparison of Sum of Two Correlated Gamma Variables for Alouini's Model and McKay Distribution |
title_full_unstemmed |
Comparison of Sum of Two Correlated Gamma Variables for Alouini's Model and McKay Distribution |
title_sort |
comparison of sum of two correlated gamma variables for alouini's model and mckay distribution |
publishDate |
2013 |
url |
http://umpir.ump.edu.my/id/eprint/6646/ http://umpir.ump.edu.my/id/eprint/6646/1/Comparison_Of_Sum_Of_Two_Correlated_Gamma_Variables_For_Alouini%27s_Model_And_McKay_Distribution.pdf |
first_indexed |
2023-09-18T22:02:37Z |
last_indexed |
2023-09-18T22:02:37Z |
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1777414498711240704 |