Aboobacker Jahufer

South Eastern University of Sri Lanka | SEUSL · Department of Mathematical Sciences

Gross Domestic Product (GDP) is usually treated by economists to be the most significant measure of the economy’s present wellbeing. The elements affect GDP is one of the greatest key concerns in that economist's study frame for numerous years. Hence, an effort has been made up to build the experimental connection amongst certain macroeconomic fact...

In this research study, the approach of Holt- Winter’s Method and Seasonal Autoregressive Integrated Moving Average (𝑆𝐴𝑅𝐼𝑀𝐴) method were implemented to forecast tourist arrivals in Sri Lanka. In this case, Sri Lankan monthly tourist arrivals data from January 2000 to December 2017 was considered. In the modelling implementation, data was analysed b...

The idea of Islamic banking is not a new one. The popularity of Islamic banking is growing day by day in various Islamic and non-Islamic countries. The conventional banking industry is a well-established competitor for the Islamic banking industry. Now for this rivalry, Islamic banking industry must consider their customer's approach, satisfaction...

Tourism is one of the earnings producing industries in a developing country which provide to the financial system. For that, forecasting tourist arrivals is an essential thing to construct policy resolutions to expand conveniences plus extra related issues in this industry. In this research study, Sri Lankan monthly tourist arrivals data from Janua...

An increase in the capacity to produce goods and services, compared from one period of time to another is known as economic growth. The economy of Sri Lanka was affected by several factors. Therefore, this study has been made to check the contributions of various macroeconomic variables (such as Consumption, Consumer Price Index, Expenditure, Forei...

Sri Lanka is a developing country. The trade plays an important role in the economic growth of a country. Basically, economic growth of a country depends on the nature and type of relationship between trade and domestic economic growth. Economists use the balance of trade as a statistical tool to understand the relative strength of a country’s econ...

The purpose of this study is to examine the effects of various factors on economic growth of Sri Lanka, using the annual data over the period of 1975 to 2014. The stationarity properties were checked by ADF, PP and KPSS unit root tests. Polynomial distributed lag approach was employed to determine the impact of various factors on economic growth. F...

The purpose of this research study is to check the overall job satisfaction associate with demographic factors: Gender, Age, Ethnicity, Civil Status, Experience, Educational Qualification, Bank Types and Distance to Working Place in Ampara region, Sri Lanka government and private bank employees. Overall job satisfaction can be measured through the...

In linear regression analysis, detecting anomalous observations is an important step for model building process. Various influential measures based on different motivational arguments and designed to measure the influence of observations on different aspects of various regression results are elucidated and critiqued. The presence of influential obs...

Identifying influential observations is an important step in the right direction of the linear regression model building process. Various influence measures based on different motivational arguments are designed to measure the influence of observations through different aspects of various regression models. This paper is on the result of the resear...

In this paper, we use generalized influence function and generalized Cook distance to measure the local influence of minor perturbation on the modified ridge regression estimator in ridge type linear regression model. The diagnostics under the perturbation of constant variance and individual explanatory variables are obtained when multicollinearity...

We occasionally find that a small subset of the data exerts a disproportionate influence on the fitted regression model. That is, parameter estimates or predictions may depend more on the influential subset than on the majority of the data. We would like to locate these influential points and assess their impact on the model. If these influential p...