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A Comparison of Goodness of Fit Test for Drought Analysis | Muenta | งดใช้ระบบ 3-31 กค 66 Burapha Science Journal

A Comparison of Goodness of Fit Test for Drought Analysis

Pennapar Muenta, Manad Khamkong, Putipong Bookkamana

Abstract


This study aimed to compare the goodness of fit test and apply the standardized precipitation index to drought analysis. Data using in this study were positively skewed simulated with different sample size and parameters. On 3 goodness of fit test and 2 critical including Anderson-Darling test , Two Ahmad Modified Anderson-Darling test , Akaike Information Criterion  and Bayesian Information Criterion . Results from the simulation study show that and  was appropriate for two-parameter distribution data. For three-parameter distribution data Modified Anderson-Darling  was appropriate in case of highly symmetric distributed. Modified Anderson-Darling  was appropriate in case of highly skewed distributed data. Result from applying with real data, from rain gauging stations in Maepik district Lampang, Thailand, showed that seasonal rainfall was a Reverse Weibull distribution data  which and were the most appropriate goodness of fit test. Moreover, we found that there was extremely drought in  Maepik district in 1959, 1990, 2004 and 2010.

 

Keywords :  Anderson-Darling Test,  Two Ahmad Modified Anderson-Darling Test


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References


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