A Quantitative Comparison of Multiple Population Mortality Model on Some East Asian Countries and Regions
Joint Authors
Zhao, Ming
Wang, Xiaojun
Liu, Yu
Shen, Jiali
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-04-09
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
This paper reviews the progress of the multiple population mortality model and the defects in parameter estimation and proposes an effective method to improve the performance of the mortality model.
We set up a multiple population group, using the data of mainland China, Hong Kong (China), and Japan, to test fitting performance and forecasting performance.
Using the TSWLS and TSSVD methods in a multiple population stochastic mortality model has advantages in fitting performance and robustness.
In addition, the forecasting value of mortality ratio between any two populations can converge to a fixed constant in a certain time period which obeys the regular of human biological characteristics.
American Psychological Association (APA)
Zhao, Ming& Wang, Xiaojun& Liu, Yu& Shen, Jiali. 2020. A Quantitative Comparison of Multiple Population Mortality Model on Some East Asian Countries and Regions. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1194410
Modern Language Association (MLA)
Zhao, Ming…[et al.]. A Quantitative Comparison of Multiple Population Mortality Model on Some East Asian Countries and Regions. Mathematical Problems in Engineering No. 2020 (2020), pp.1-8.
https://search.emarefa.net/detail/BIM-1194410
American Medical Association (AMA)
Zhao, Ming& Wang, Xiaojun& Liu, Yu& Shen, Jiali. A Quantitative Comparison of Multiple Population Mortality Model on Some East Asian Countries and Regions. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1194410
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1194410