Page 71 - Special Topic Session (STS) - Volume 2

STS459 Norshahida S. et al.
parameter estimates have been obtained by using maximum likelihood
estimators (MLE). Results in Table 2 shows that for both Gamma and Weibull
distribution, Putrajaya has larger value of estimated parameters compared to
Shah Alam.

Table 1 Descriptive Statistics for O3 Concentration for Southwest Monsoon
Value (ppm)
Shah Alam Putrajaya
Minimum Value 0.0000 0.0000
Maximum Value 0.1410 0.1150
Mean 0.0164 0.0200
Standard Deviation 0.0177 0.0181
Median 0.0100 0.0150
Skewness 1.6018 1.3189
Kurtosis 5.9446 4.6863

Table 2 Parameter Estimate for Southwest Monsoon
Distribution Parameter Estimate
Shah Alam Putrajaya
Gamma α = 0.8007 α = 1.0638
β = 0.4893 β = 0.5331
Lognormal α = 1.4736 α = 1.3047
β = -0.2487 β = 0.1520
Normal α = 1.7699 α = 1.8074
β = 1.6361 β = 1.9951

Weibull α = 0.8647 α = 1.0539
β = 1.5208 β = 2.0359

Table 3 Goodness of Fit for Southwest Monsoon
Distribution Statistics Shah Alam Putrajaya
Kolmogorov-Smirnov 0.1045 0.0572
Gamma Cramer-von Mises 9.1923 3.1828
Anderson-Darling 74.4673 25.2371
Average Score (Gamma) 28.2547 9.4741

Kolmogorov-Smirnov 0.1055 0.0611
Weibull Cramer-von Mises 9.1044 3.1661
Anderson-Darling 74.5250 25.5210
Average Score (Weibull) 27.9116 9.5827

Table 3 presents the result of goodness of fit test. Based on the average
value of the test statistics; the Kolmogorov-Smirnov, Cramer-von Mises and

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