Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Chon Sern Tan"'
Autor:
Ah Hin Pooi, Chon Sern Tan
Publikováno v:
Jurnal Teknologi. 78
Prediction of future mortality rate is of significant priority in the insurance industry today as insurers face challenging tasks in providing retirement benefits to a population with increasing life expectancy. A time series model based on multivari
Autor:
Chon Sern Tan, Ah Hin Pooi
Publikováno v:
AIP Conference Proceedings.
Prediction of future mortality rates is crucial to insurance companies because they face longevity risks while providing retirement benefits to a population whose life expectancy is increasing. In the past literature, a time series model based on mul
Autor:
Ah Hin Pooi, Chon Sern Tan
Publikováno v:
AIP Conference Proceedings.
A time series model based on multivariate power-normal distribution has been applied in the past literature on the United States (US) mortality data from the years 1933 to 2000 to forecast the future age-specific mortality rates of the years 2001 to
Publikováno v:
2012 IEEE Conference on Sustainable Utilization and Development in Engineering and Technology (STUDENT).
This project explored the potential of Bayesian Networks in modeling financial ratios of Malaysian plantation stocks. Financial ratio is a crucial part of fundamental analysis which involves analyzing a company's financial statements to gain insights
Autor:
Yong Haur Tay, Chon Sern Tan
Publikováno v:
2010 IEEE Conference on Sustainable Utilization and Development in Engineering and Technology.
Educational assessment has been subject to numerous studies in recent years. The emergence of Bayesian Networks (BN) as a powerful probabilistic inference tool has been integrated by many into researches on modeling the education domain to measure te
Autor:
Chon Sern Tan, Ah Hin Pooi
Publikováno v:
AIP Conference Proceedings; 2015, Vol. 1691, p1-6, 6p, 3 Charts
Autor:
Chon Sern Tan, Yong Haur Tay
Publikováno v:
2010 IEEE Conference on Sustainable Utilization & Development in Engineering & Technology (STUDENT); 2010, p75-80, 6p