Bio
Md. Soyebur Rahman is a dedicated academic and researcher affiliated with Mawlana Bhashani Science and Technology University in Bangladesh. With a Master of Science in Statistics, his work spans statistical methodologies and applied research. He has contributed to studies such as 'The Generalized Estimating Equations for the Unknown Correlation Structure of the Data' and 'Role of Banks and Financial Institutions in Export Finance of Bangladesh,' demonstrating a breadth of interest from advanced statistical modeling to economic analysis. As a reviewer for the Global Journal of Science Frontier Research, he actively engages with the academic community, fostering rigorous scholarship in decision sciences and related fields.
Educational Journey
MSc. in Statistics • Statistics
Experience
Lecturer
0 - 0 • Department of StatisticsJahangirnagar University & Mawlana Bhashani Science and Technology University
0 - 0Research
Role of Banks and Financial Institutions in Export Finance of Bangladesh
With a view to find out the role of banks and financial institutions in export finance of Bangladesh, a questionnaire survey was done on commercial banks and exporters. Besides, reading materials and secondary data on export financing from various sources were analyzed. As an apex body in the financial system, Bangladesh Bank plays an important role in export financing through its policy formulation and refinancing facilities. Commercial banks are dealing with export financing directly.
The Generalized Estimating Equations for the Unknown Correlation Structure of the Data
In many study the data are taken different period of time and the information about them is gathered relating to an event of concern at different time periods. The data are taken different time period are correlated. Regression analysis based on the Generalized Estimating Equation (GEE) is an increasing important method of such data. The Generalized Estimating Equation is an important and widely used approach in such analysis. Since the true correlation is unknown GEE offers to take a working correlation for analysis. In our study we consider four common correlation structure namely, independent, exchangeable, pair wise, autoregressive. In the study the data are taken from the Dhaka stock exchange (DSE) this data are highly correlated. At first we apply different methods of estimating parameter the we apply GEE for estimating the parameters. Finally we get the GEE gives better estimate than any other method.
