Browsing by Author "Wan Muhamad Amir W Ahmad"

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    Box-Cox Transfromation and Bootstrapping Approach to One Sample T-Test
    (World Applied Sciences Journal, 2015) Wan Muhamad Amir W Ahmad; Syerrina Binti Zakaria; Nor Azlida Aleng; Nurfadhlina Abdul Halim; Zalila Ali
    One sample t-test is one of the most popular collections of statistical technique for analyzing data. Before we perform one sample T-Test the first thing that we should check is normality assumption. In this paper, we combine Box-Cox and bootstrapping idea in one algorithm. The purpose of Box-Cox is to ensure the data is normally distributed before the analysis. This combination is very useful for the modelling with an advanced analysis and perhaps can be an alternative method for modelling options in applied statistics scope. Through this combining method, we are capable to handle the case of non-normal data and small and limited sample size data by bootstrapping the original data set to generate new ones. In our case, the term “bootstrap” actually is referring to the use of the original data set to generate new ones. In this research paper, from a small and limited sample size data, we performed bootstrapping method in order to generate a new data set with a bigger sample size. After getting a new sample size, we then perform one sample T-Test using standard procedures and modified procedure. Results from both analyses will be compared with others to know the efficiency of the modified procedure. We also provided some example of application of the method discussed by using SAS language computer software.
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    Canonical Correspondence Analysis and path analysis model (CCA) applied to dental caries among children six and seven year olds, bachok, kelantan, malaysia
    (International Journal Of Advanced Research, 2016-05) Ruhaya Hasan; Wan Muhamad Amir W Ahmad; Nor Affendy Nor Azmi; Rosmaliza Ramli; Nurhafizah Ghani; Zailani Abdullah; Nor Azlida Aleng; Nurfadhlina Abdul Halim; Syerrina Zakaria; Kasypi Mokhtar
    A correspondence analysis and path analysis approach were conducted for a dental caries case study among 6-7 year-old children from (Bachok District) Kelantan. Data from382 children were collected and caries status was examined visually by two dental officers from School of Dental Sciences, Hospital Universiti Sains Malaysia (HUSM). All related and important information observed was recorded in a research form. Results showed that 63.1% of the children was in high caries category. The incidence of caries among these children was very high and required attention from the government. The factors associated with caries status were analyzed using graphical mapping approach and path model analysis. This statistical technique facilitated the visualization through mapping procedure and path modeling analysis of the studied variables. All data were processed and analyzed using SAS (for Canonical Correspondence Analysis) and SPSS (Logistic Regression) software.
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    A study of an efficiency of handling overdispersion using poisson regression and zero inflated poisson regression
    (Journal of Advanced Scientific Research, 2015) Wan Muhamad Amir W Ahmad; Nur Syabiha Zafakali; Nurfadhlina Halim; Nor Azlida Aleng; Syerrina Zakaria
    Thalassemia is a blood related illness though descendant. Increasing number of patients suffering from thalassemia, especially among children has been reported year by year and has been identified ahead of other hereditary diseases in many parts of the world especially in Malaysia. Therefore, the increasing numbers of this illness annually, attracts the interest among the researchers to put an extra effort in order to overcome this illness. Other than that, most patients were also exposed other chronic diseases such as hemorrhagic illness, health problems, heart failure, influenza, anemia, pneumonia, acute bronchitis, asthma, acute tonsillitis, jaundice and tuberculosis. Data from patients especially among children has been successfully collected and it has been manifested in the form of statistic for analysis.