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Best Fit Probability Model for Runup Height Tsunami in Aceh Using Some Mixture Distribution

Desta Wahyuni, - and Arisman Adnan, - and Rado Yendra, - and Ari Pani Desvina, - and M. N. Muhaijir, - (2018) Best Fit Probability Model for Runup Height Tsunami in Aceh Using Some Mixture Distribution. Applied Mathematical Sciences, 12 (24). pp. 1191-1199. ISSN 1314-7552

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Abstract

Abstract Choosing best fit probability distribution to represent the height wave tsunami has been a long topic of interest in hydrology. In this study, Lognormal distribution (L), Gamma distributions (G), Weibull (W), and mixture of two lognormal (ML), two gamma (MG) or two weibull (MW) distributions were applied to data tsunami runnup heights in Aceh. Parameter for each distribution are estimated by maximum likelihood techniques. For selecting the best fit model, graphical inspection (probability density function (pdf)) and numerical criteria (Akaike’s information criterion (AIC), Bayesian information criterion (BIC)) were used. In most the cases, graphical inspection gave the same result but their AIC and BIC result differed. The best fit result was chosen as the distribution with the lowest values of BIC and AIC. Tsunami that happened in Aceh on 26 December 2004 at latitude 3.32 N and longitude 95.85 E, G and W distributions was not suitable to 1192

Item Type: Article
Subjects: 500 Ilmu-ilmu Alam dan Matematika > 510 Matematika
Divisions: Fakultas Sains dan Teknologi > Matematika
Depositing User: Gusneli -
Date Deposited: 13 Apr 2023 06:49
Last Modified: 13 Apr 2023 06:49
URI: http://repository.uin-suska.ac.id/id/eprint/69964

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