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

Civil Engineering

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