ERNILA SARI GULO,  (2024) THE COMPARISON SOME MODELS (GAMMA, SLASHED QUASIGAMMA, THREE PARAMETERS QUASI GAMMA, TWO PARAMETER GAMMA EXPONENTIAL, AND MODIFIED LOGLOGISTIC DISTRIBUTIONS) FOR DAILY TEMPERATURE DATA. INTERNATIONAL JOURNAL OF MATHEMATICS AND COMPUTER RESEARCH, 12 (01). pp. 39333936. ISSN 23207167

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Abstract
With the increase in hot temperature events in recent years, there is growing interest in measuring the frequency of recurring temperature events. One of the basis for assessing the frequency of recurrence of temperature events is the probability distribution of temperature events, therefore temperature data is needed to produce statistical modeling, especially in determining the best probability distribution. The study intended to estimate the bestfitted probability model for the daily temperature at the Pekanbaru station in Indonesia from 2010 to 2020 using several statistical analyses. Five continuous probability distributions such as Gamma (GM), Slashed QuasiGamma (SQG), Three Parameters Quasi Gamma (TPQG), Two Parameter GammaExponential (TPGE), and Modified LogLogistic (MLL) distributions were fitted for these tasks using the maximum likelihood technique. To determine the model’s fit to the temperature data, several goodnessoffit tests were applied, including the graphical methos test (density plot) and Numerical criteria method test (AIC, BIC, and  Log Likelihood). The GM and MLL distribution are found to be the bestfitted probability distribution based on goodnessoffit tests for the daily temperature data at the Pekanbaru station.
Item Type:  Article 

Subjects:  000 Karya Umum 
Divisions:  Fakultas Sains dan Teknologi > Matematika 
Depositing User:  fsains  
Date Deposited:  17 Jan 2024 00:32 
Last Modified:  17 Jan 2024 00:32 
URI:  http://repository.uinsuska.ac.id/id/eprint/77035 
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