Shamshuritawati Sharif

Universiti Utara Malaysia | UUM · School of Quantitative Sciences

Sports culture among Malaysia Population still lacking and the percentage of inactive people still high and increase since year 2018. The aim of this study is to determine the level and influence of motivation towards physical activities based on gender and age groups. The researchers employed a survey design involving 7,015 respondents aged 13 yea...

Sports culture among Malaysia Population still lacking and the percentage of inactive people still high and increase since year 2018. The aim of this study is to determine the level and influence of motivation towards physical activities based on gender and age groups. The researchers employed a survey design involving 7,015 respondents aged 13 yea...

The Malaysian Sports Culture Index (MSCI) is the baseline index for reporting on the achievement of Malaysians in practicing sports activities with the availability of its ecosystem. MSCI’22 is a continuation of the study which was first initiated by the Institute for Youth Research Malaysia (IYRES) in 2018. This index is the basis for the formatio...

Sports culture can be defined as a positive value attitude of an individual to sport. These values act for the individual as social ideals, senses, symbols, norms, and samples of behavior that regulate the entire activity and social relations in a sports sphere. The Institute for Youth Research Malaysia (IYRES) initiated to determine the nation's s...

Penyelidikan ini bertujuan untuk membangunkan indeks budaya sukan bagi mengenal pasti tahap budaya sukan rakyat Malaysia serta mengukur isu-isu lain yang berkaitan. Data dikumpul melalui soal selidik yang ditemu bual secara bersemuka. Data kajian adalah daripada persampelan berperingkat berstrata mengikut negeri dalam Malaysia. Terdapat 7857 respon...

Binomial regression model is a very important type of generalized linear model (GLM) and has been applied in wide area such as Liver cancer data. In diagnosing the model, we need to check for the heteroscedasticity problem because it happens when the standard errors of a variable are non-constant. heteroscedasticity will impact the validity and abu...

This study aimed to assess the content validity of the Islamic Emotional Regulation Module towards the mental wellbeing of youth. This module has five main submodules, namely the emotional regulation submodule of sadness, anger, guilt, shame and fear. This module has gone through content validation involving five experts in the fields of Islamic th...

In a multicultural, multi-ethnic and multi-religious nation like Malaysia, inter-ethnic harmony is seen as both an enriching society and a government obstacle. A diverse community with disparities in culture, language and religion is often viewed as difficult to control because of the many different needs, beliefs and aspirations of different commu...

Implementing smart community engagement should consider careful planning and collaboration with numerous stakeholders, including the community. The technology and program must be designed to frame its purpose and should link back to specific goals of implementing smart community engagement. Digital services do not guarantee a smart engagement betwe...

Over the past years, organizations are forced to redesign their workplace to fulfil global labour market needs and to remain competitive. Due to the ever-changing working environment and competitive markets, organizations opted to choose more flexible work options so they can respond to the volatile environment. This study explores the moderation e...

Air is contaminated due to the occurrence of many gas and dust particles. Air pollution is caused by the existance of the contaminants in the air. It is very serious issue that required awareness from all significant authorities because it can alarms health of public, agricultural activities and industries, forest and non-forest species and our env...

The river pollution or contamination is caused by several factor such as growth in the industrial development, urbanization transformation and increase in the population density. River pollution may negatively effect human health, well-being and the environmental condition. Juru River basin is among the contaminated rivers in Malaysia which located...

The river pollution or contamination is caused by several factor such as growth in the industrial development, urbanization transformation and increase in the population density. River pollution may negatively effect human health, well-being and the environmental condition. Juru River basin is among the contaminated rivers in Malaysia which located...

Insect pest species identification is a crucial process before starting any pest management program. The similar morphological characteristics among the vast insect species cause identification process difficult. In this paper, the Coleopteran stored product pest is our main concern. It causes severe damage to the stored product and gives a negativ...

Water quality is a crucial requirement of human health, well-being and the environment. However, the rapid development of industrial and urbanisation around the area contribute to water pollution. In this paper, a principal component analysis are implemented to evaluate and interpret water quality dataset obtained from one of the polluted rivers in...

Air pollution is a crucial subject that needs responsiveness from all relevant authorities as it is one of the major factors that disturbing public health, agricultural industries, forest species and environments. Thus, it is important to determine the most significance contaminants to monitor the air quality. In this study, the daily data of conta...

The Coleopteran stored product pest contribute severe damage to stored product. Therefore, the identification of the insect pest is crucial step in the pest management program. However, the abundant of insect pest’s species may cause the difficulty in the identification process specially when using morphological image and molecular techniques. In t...

Air pollution is a crucial subject that needs responsiveness from all relevant authorities as it is one of the major factors that disturbing public health, agricultural industries, forest species and environments.

A fertility rate is a measure of the average number of children a woman will have during her childbearing years. Malaysia is now facing a population crisis and the fertility rate continues to decline. This situation will have implications for the age structure of the population where percentages of senior citizens are higher than percentages of peo...

Understanding the shift of covariance matrices in any process is not an easy task. From the literatures, the most popular and widely used test for covariance shift is Jennrich’s test and Box’s M test. It is important to note that Box and also Jennrich have constructed their own test by involving sample covariance matrix determinant or, equivalently...

Abstrak Pensijilan makanan Halal kini menjadi salah satu keperluan di seluruh dunia kerana kehadiran logo pada pembungkusan produk boleh menjamin bahawa makanan adalah selamat, bersih dan halal. Walau bagaimanapun, tahap kesedaran halal di kalangan pengguna tidak dapat dijangka kerana kita hidup dalam masyarakat berbilang kaum. Oleh itu, dalam kaji...

Testing the equality of several correlation matrices becomes an active area in the research in multivariate analysis in financial and economic industry. In this work we propose a statistical test which is constructed on linear transformation. This transformation change the correlation matrix to vector where it is elements are only the upper off dia...

The depreciation of many currencies over the world has retarded the economic development during 2008 credit crisis. The aim of this study is to detect the existence of changes in the currency stability structure by using a new covariance structure test known as S∗ statistics for high dimensional data involving 74 currencies. Comparisons were made b...

Classical Box M-statisticis one of Likelihood Ratio Test (LRT) constructed under the multivariate normality distribution. The performance of classical Box M-statistic by using classical estimators suffers from masking and swamping effects when the outlier occurs in data set. To alleviate the problem, robust estimators are recommended. In this study...

Box M statistic constructed under the multivariate normality distribution and is one of Llikelihood Ratio Test (LRT). The performance of traditional Box M statistic by utilizing classical estimators suffers from masking and swamping effects when there is outlier in data set. To ease the problem, robust estimators are suggested. A robust Box M stati...

Background and Objective: The performance of classical Jennrich (J) statistic using classical estimators suffers from masking effects. To relieve the problem, robust estimators are recommended. In this study, a robust Jennrich statistic was proposed based on a S estimator (JS) and M estimator (JM) as alternative to the J statistic, which has good p...

A fertility rate is a measure of the average number of children a woman will have during her childbearing years. Malaysia is now facing a population crisis and the fertility rate continues to decline. This situation will have implications for the age structure of the population where percentages of senior citizens are higher than percentages of peo...

A currency exchange rate is the price of one country's currency in terms of another country's currency. There are four different prices; opening, closing, highest, and lowest can be achieved from daily trading activities. In the past, a lot of studies have been carried out by using closing price only. However, those four prices are interrelated to...

Oil and gas production is the strength of Malaysia’s growth over past decades. It is one of the most strategic economic branches in the world. Since the oil industry is essential for the economic growth of a country, only a few undertakings have been achieved to establish. It is a very risky business. Therefore the dealer must have some information...

A stable world currency exchange rate is a very important aspect to be considered for a developed country, i.e Malaysia. A better understanding about the currencies itself is needed nowadays. This project is about to understanding the fluctuation and to identify the most influential world currencies in the three different cases; before credit crisi...

The major issue in multivariate analysis is the stability of correlation matrix. The most popular and widely used Box M test and Jennrich test introduced by Box and Jennrich, respectively. These two tests involve the determinate of the sample correlation and the inverse that mean Box's needs the condition that all correlation matrices are positive...

In multivariate analysis, the stability of correlation matrix is a major issue. We can be seen it in the literature, the most popular tests and widely used are Jennrich test and Box M test which introduced by Jennrich in 1970 and Box in 1949. Jennrich test involve inverse of matrix and Box involve the determinant of the matrix. Under these conditio...

Analysing the structure of multivariate system has been an important part in reliability analysis especially in identifying the influential variables. The complexity of the analysis increases when high dimensional data involved. To simplify the information in multivariate system, a network topology which is based on an Escoufier’s RV-coefficient is...

The global financial crisis of 2007 to 2009 affects the economic development around the world. It started with US in 2007 and followed by Malaysia in 2008. The purpose of this study is to validate the impact before and beginning of the crisis on seventy seven Bursa Malaysia stocks market companies. Two data sets of 2007 and 2008 were used in testin...

This book is a valuable resource for those engaged in multivariate statistical techniques. Most chapters include a set of problems and solution that enable readers to overcome the drawback of the classical techniques.It covers a theoretical disadvantage of correlation and covariance test, Hotellings T2 statistic, local influence, and linear discrim...

The aim of this book is to deliver the reader with a book where they can discover a brief research idea in statistics and mathematics including a wide range of topics such as t-test, ANOVA, L-moment, centrality measure, Quintic Bézier Triangular Patches, and abelianess in Group Theory.The book is advisable for the readers to have some basic foundat...

This book is a guide for researchers who are involved in statistical and decision science analyses.Both analyses are explained in detail with samples of real applications in daily life to assist readers to appreciate theoretical and mathematical formulations. It covers a wide variety of applications, including economic issues, i.e., stock markets,...

Since it was introduced in 1999, minimum spanning tree (MST) has become an indispensable tool to filter the most important information in a complex network such as, for example, correlations network representing stocks market or currencies exchange market, highway roads network, scientific authorships network, political relationships network, socia...

To test the stability of correlation matrix, the most popular and widely used statistical tests are Box’s M-statistic and Jennrich’s J-statistic. Their computation complexity becomes higher and higher when data dimension is larger and larger. To reduce this computational problem, in this chapter we introduce T*-statistic. Its asymptotic distributio...

High dimensional covariance structure can be considered as a complex system that relates each variable to the others in terms of variability. In complex system, identifying influential variables is a very important part of reliability analysis, which has been a key issue in analysing the structural organization of a system. To analyse such complex...

The sub-prime crisis started from November 2006 to February 2008 is a global crisis that affected almost all economy activities in the world. In this study, we used the covariance stability test for exploring its impact towards foreign exchange rate among 15 currencies. Box’s M control chart and its root causes analysis are employed to understand t...

The stability of covariance structure is a major issue especially in multivariate statistical process control and other industries that involving multivariate setting. This issue has been discussed intensively, for example, in manufacturing industry, software industry, service industry, financial market, real estate industry and medical research. D...

This study investigates the aftermath of Tohoku earthquake to the structure of Asia-Pacific currencies. The M statistic and Minimum Spanning Tree (MST) are employed to study the stability of the covariance currencies structure and its causes, respectively. To filter the information from MST, we use a degree centrality measure. The results showed th...

Disability may involve visual disability, physical disability, learning disorder, speech disorder, mental disorder and others various disabilities. This situation can reduce the quality of life, and causes clear drawback to that person. Due to this, in many countries, there are scholarships for students with disability, and students with disability...

Understanding the shift of correlation matrices in any process is not an easy task. From the literatures, the most popular and widely used test for correlation shift is Jennrich's test. This motivates us to use it in this paper. However, if after hypothesis testing the hypothesis of stable process correlation is rejected, then the next problem...

Monitoring the stability of correlation structure becomes an imperative subject in economic development and financial industry. It has been extensively implemented by various researchers to understand the behaviour of a sequence of correlation structures based on independent samples in certain time periods. The existing statistical test can only ta...

In multivariate statistical quality control, the existing tests known as Generalized Variance (GV) and Vector Variance (VV), plays an important role in measuring process variability. In this paper, we present the computational efficiency of both tests to illustrate that their complexity as a function of dimension. From the mathematical derivation a...

In this paper safety culture and worker’s are considered, all together, as a complex system and statistically represented in the form of correlation network among their characteristics. We show that the current practice, based on a minimal spanning tree (MST), to filter the information contained in the network is not robust. A robust filter based o...

This paper deals with an analysis of correlation network among the satisfaction characteristics evaluated by the international students of top five Malaysian universities. The method developed in econophysics has been used to filter the information contained in a correlation structure. In this paper, we present a correlation network analysis where...

In this paper we use a network topology approach to examine the interrelationship of 55 world currencies which is based on correlation analysis. With this point of view, those relationships can be measured by a correlation structure among currencies. To analyse that network, we filter the important information contained therein by using minimum spa...

This paper deals with social network approach to understand an organizational management problem in Malaysian public university. Four groups of factors, i.e., workplace spirituality, affective commitment, continuance commitment and normative commitment are used to quantify the level of organizational commitment. In total, there are 40 characteristi...

A manufacturing industry contributes around 10% Malaysian economy. It provides economic opportunities for related industries and business. However, the number of accidents in manufacturing sector, including fatal accidents, has been increased from time to time. To understand the real situation, in this paper, we used a correlation network analysis...

In this paper we propose the average of weights of all links adjacent to each stock as a centrality measure. This measure, besides the traditional centrality measures such as degree centrality, betwenness centrality, closeness centrality and eigenvector centrality will be helpful in interpreting the network topology of stocks markets. A case study...

In stock networks analysis, the influential stocks is usually identified by using minimal spanning tree (MST) to filter the important information followed by the centrality measures analysis. In this paper, we introduce an analysis to identify the stocks that might have different behaviour compared to the others. Like the centrality measures analys...

Department of Occupational Safety and Health (DOSH) of Malaysia is very concern on a safety and healthy work environment for all employers and employees. Currently the number of fatality has been increased badly. To understand the situation, we study the behaviour of 18 safety culture variables used internationally. In this paper we examine the int...

In this paper social network approach will be used to analyze safety culture and worker's behaviour in manufacturing industry. For this purpose we assume that each characteristic of safety culture, as well as worker's behaviour, is a member of social group and the relationship among them represents social relationship. With this point of view, thos...

A manufacturing industry contributes around 10% Malaysian economic. It provides economic opportunities for related industries and business. However, the number of accidents in manufacturing sector, including fatal accidents, has been increased from time to time. We analyze worker’s behaviour to understand the real situation. The method developed in...

This paper deals with a network topology approach for identifying the root causes of an out-of-control signal: An experience in the production process of fertilizer will be reported

We propose the average of weights of all links adjacent to each currency as a centrality measure. This measure, together with the existing centrality measures will be helpful in interpreting the network topology of currencies. A case study will be presented and discussed to illustrate the advantage of the proposed measure.

Identifying the root causes of an out-of-control signal is a crucial part in statistical process control. In this paper we propose a network topology approach to do such analysis in multivariate process variability monitoring. A real example will be presented to illustrate the analysis of the proposed method.

This study measures the students’ satisfaction towards the co-curricular trainers to grant them better quality of co-curricular service in boosting up their satisfaction level. The theoretical framework of measuring students’ satisfaction (SSCT Model) was developed based on relevant literatures and theoretical considerations adopted from the Americ...