题名 |
Feasibility of Singular Spectrum Analysis in the Field of Forecasting Mortality Rate |
DOI |
10.6339/JDS.2013.11(4).1234 |
作者 |
Rahim Mahmoudvand;Fatemeh Alehosseini;Mohammad Zokaei |
关键词 |
Hyndman-Ullah model ; Lee-Carter model ; Mortality ; Singular Spectrum Analysis |
期刊名称 |
Journal of Data Science |
卷期/出版年月 |
11卷4期(2013 / 10 / 01) |
页次 |
851 - 866 |
内容语文 |
英文 |
英文摘要 |
The Lee-Carter model and its extensions are the most popular methods in the field of forecasting mortality rate. But, in spite of introducing several different methods in forecasting mortality rate so far, there is no general method applicable to all situations.Singular Spectrum Analysis (SSA) is a relatively new, powerful and nonparametric time series analysis that its capability in forecasting different time series has been proven in the various sciences. In this paper, we investigate the feasibility of using the SSA to construct mortality forecasts. We use the Hyndman-Ullah model, which is a new extension of Lee-Carter model, as a benchmark to evaluate the performance of the SSA for mortality forecasts in France data sets. |
主题分类 |
基礎與應用科學 >
資訊科學 基礎與應用科學 > 統計 |