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Articles by Abdul Aziz Jemain
Total Records ( 9 ) for Abdul Aziz Jemain
  Faisal G. Khamis , Abdul Aziz Jemain and Kamarulzaman Ibrahim
  In this study, we examined the geographical distribution (the spatial structure) of mortality and prosperity in Malaysia. In addition we proposed an approach to investigate the association between clustering patterns of mortality and prosperity across different areas of the country. To characterize the geographic pattern of mortality and prosperity, three indicators (infant, neonatal, and stillbirth) were proposed for mortality and also three indicators (class1, class2 and class3) for occupation were proposed for prosperity. These indicators measure the level of mortality and prosperity factors for all 81 districts in peninsula Malaysia based on 1993 census data. Two statistics of spatial autocorrelation based on sharing boundary neighbours known as global and local Moran are used to investigate the global and local clustering respectively. We found that both mortality and prosperity varied significantly across the different districts. Also, we found many significant local clusters in both mortality (in the north, south and mid-west), and in prosperity (in the north and west). A significant association was found between mortality and prosperity based on the spatial correlation coefficient.
  Aida Shafawati Ismail , Mohd Talib Latif , Siti Zawiyah Azmi , Liew Juneng and Abdul Aziz Jemain
  Problem statement: Variations of ozone (O3) concentrations in the Eastern Coastal Region of the Malaysia peninsula were investigated using data obtained from the Malaysian Department of the Environment. The aim of this study was to determine the monthly and seasonal variations of ozone concentrations at all monitoring sites. This study deals with the air quality data recorded at four air quality monitoring stations in the East Coast of the Malaysian peninsula over a ten year period (1997-2006). Approach: We focused on the usage of S-Plus and SPSS to analyze this data. The S-Plus programming was used to impute missing data and SPSS was used to obtain the variations of ozone and also to clarify the relationship between stations. Results: Over the entire 10 year period (1997-2006), the trend in annual baseline ozone generally increased each year for all the four monitoring sites. There was also a seasonal variability in the measured ozone levels with high concentrations during the southwest monsoon and the northeast monsoon season, producing a significant increase in the amplitude of the seasonal cycle. The results also shown that the highest ozone concentrations were recorded at the Bukit Kuang air monitoring station (S1), with a daily mean value of 19 ppb followed by the Indera Mahkota air monitoring station (S2). The concentration of ozone recorded at Kota Bharu (S3) and Kuala Terengganu (S4), two stations located in the city centre, was found to be lower than the values recorded at Bukit Kuang and Indera Mahkota. The correlation between O3 and NO is high at Kuala Terengganu (S4) (ρ = -0.579), whilst the relationship between O3 and NO2 are high (ρ = -0.397) at Indera Mahkota (S2). Conclusion: The concentration of ozone in the East Coast of Malaysian peninsula depends on the concentration of NOx and seasonal meteorological factors.
  Sayang Mohd Deni and Abdul Aziz Jemain
  Present study is aimed to propose the mixture of geometric distribution with the truncated Poisson model (MGTPD) as the alternative probability model to describe the distribution of wet (dry) spells in daily rainfall events. In order to compare the performance of this new model with the other five existing probability models in fitting the distribution of wet spells, daily rainfall data from five stations over Peninsular Malaysia for the period of 1975 to 2004 was considered. In determining the most successfully fitted and the best fitting model to represent the observed distribution of wet spells at each station, a Chi-square goodness-of-fit test was used. The results demonstrated that all the data sets were found to successfully fit the new proposed model, the MGTPD. Moreover, this model was also found to produce a better fit than the existing mixed geometric with Poisson model (MGPD) in describing the distribution of wet spells over the five selected stations.
  Nur Zakiah Mohd Saat and Abdul Aziz Jemain
  In this study, we fit a parametric model to the duration of hypopnea. Hypopnea is a partial apnea. A total of two hundred and seven events of duration of hypopnea is considered in this study. The parametric model that has been used is gamma, Weibull, log-normal and log-logistic distribution. The most appropriate distribution to fit the duration of hypopnea is analyzed according to sleep stages. The results indicated that Weibull distribution is the best model for light, deep and Rapid Eye Movement (REM) sleep stages.
  Ani Shabri and Abdul Aziz Jemain
  The LQ-moments are analogous to L-moments, found always exists, easier to compute and have the same potential as L-moment were re-visited. The efficiency of the Weighted Kernal Quantile (WKQ), HD (Harrell and Davis) quantile the weighted HD quantiles estimators compared with the Linear Interpolation Quantile (LIQ) estimator to estimate the sample of the LQ-moments. In this study we discuss of the quantile estimator of the LQ-moments method to estimate the parameters of the Generalized Extreme Value (GEV) distribution. In order to determine which quantile estimator is the most suitable for the LQ-moment, the Monte Carlo simulation was considered. The result shows that the WKQ is considered as the best quantile estimator compared with the HDWQ, HDQ and LIQ estimator.
  Ani Shabri and Abdul Aziz Jemain
  Mudolkar and Hutson (1998) extended L-moments to new moment like entitles called LQ-moments (LQMOM). The LQMOM are constructed by using functional defining the quick estimators, where the parameters of quick estimator take the values for the median, for the trimean and for the Gastwirth, in places of expectations in L-moments (LMOM). The objective of this paper is to develop improved LQMOM that do not impose restrictions on the value of and such as the median, trimean or the Gastwirth but we explore an extended class of LQMOM with consideration combinations of and values in the range 0 and 0.5. The popular quantile estimator namely the weighted kernel quantile (WKQ) estimator will be proposed to estimate the quantile function. Monte Carlo simulations are conducted to illustrate the performance of the proposed estimators of the log-normal 3 (LN3) distribution were compared with the estimators based on conventional LMOM and MOM (method of moments) for various sample sizes and return periods.
  Abdul Aziz Jemain , Amer Al-Omari and Kamarulzaman Ibrahim
  We modify RSS to come up with new sampling method, namely, Multistage Median Ranked Set Sampling (MMRSS). The MMRSS was suggested for estimating the population median and to increase the efficiency of the estimator for specific value of the sample size. The MMRSS was compared to the Simple Random Sampling (SRS), Ranked Set Sampling (RSS) and Median Ranked Set Sampling (MRSS) methods. It is found that MMRSS gives an unbiased estimate of the population median of symmetric distributions and it is more efficient than SRS, RSS and MRSS based on the same number of measured units. Also, it was found that the efficiency of MMRSS increases in r (r is the number of stage) for specific value of the sample size. For asymmetric distributions considered in this study, MMRSS has a small bias, close to zero as r increases, especially with odd sample size. A set of real data was used to illustrate the method.
  Ani Shabri and Abdul Aziz Jemain
  Problem statement: The study evaluated the effectiveness of the various quantile estimators of the LQ-moments method for estimating parameters of the Extreme Value Type 1 (EV1) distribution. Approach: The performances of the LQ-moments were analyzed and compared against a widely used method of L-moments by using simulated samples of both EV1 and generalized Lambda distribution, focusing on small and moderate sample sizes. Results: The analysis results showed that LQMOM method wais more efficient in many cases especially for the upper tails of the distribution and for various sample sizes. Conclusion: This study demonstrated that conventional LMOM was not optimal for the estimation of the EV1 distribution.
  Soo-Fen Fam , Noriszura Ismail and Abdul Aziz Jemain
  This study aims to develop a pioneer composite area-based index of socioeconomic deprivation, namely the General Index of Deprivation (GID) using Principal Component Analysis (PCA). The proposed GID which is based on combined resources of census data, administrative registration data, vital statistics and insurance data of eighty-one Administrative Districts (ADs) in Peninsular Malaysia in 2000 can be used to provide a greater understanding and interpretation of the distribution of socio-economic patterns across the ADs. This study also measures the overall and the local clustering in socio-economic deprivation across ADs in Peninsular Malaysia using Global and Local Moran’s I. Further, visualizations of the patterns of socio-economic deprivation based on the proposed GID and the locations of spatial clusters based on the Local Moran’s I are implemented by using choroplate maps. The results of GID indicate that the ADs can be ranked and classified into four quartiles; the most affluent, the moderately affluent, the moderately deprived and the most deprived. The majority of affluent areas were located in the westcoast of Peninsular Malaysia whereas the most deprived areas were mainly scattered in the Northeast of Peninsular Malaysia. The results of Global Moran’s I suggests significant and positive global spatial autocorrelation across spatial weights of the ADs. In addition, the results on Local Moran’s I show strong spatial disparities of socioeconomic deprivation in several ADs, indicating the importance of considering geographic localization and spatial condition of each AD for allocating resources and implementing efficient policies in Peninsular Malaysia.
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