An Analysis of the Australian Mortality
This thesis evaluates and compares the goodness-of-fit of six selected stochastic mortality models, based on Australian mortality data. These models are applied to both sexes, across three different age-group scenarios, and four lookback windows and five look forward windows. Four different criteria...
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| Format: | Thesis |
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Curtin University
2017
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| Online Access: | http://hdl.handle.net/20.500.11937/70521 |
| _version_ | 1848763028159332352 |
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| author | Albrbar, Samira Shaban |
| author_facet | Albrbar, Samira Shaban |
| author_sort | Albrbar, Samira Shaban |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | This thesis evaluates and compares the goodness-of-fit of six selected stochastic mortality models, based on Australian mortality data. These models are applied to both sexes, across three different age-group scenarios, and four lookback windows and five look forward windows. Four different criteria were applied in the model selection and evaluation and results indicate that the Lee-Carter model is more efficient. The forecast is for a period of 50-years (from 2012 to 2061) and results reveal that mortality rates are improving with age stratification. |
| first_indexed | 2025-11-14T10:56:57Z |
| format | Thesis |
| id | curtin-20.500.11937-70521 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T10:56:57Z |
| publishDate | 2017 |
| publisher | Curtin University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-705212018-12-19T08:09:58Z An Analysis of the Australian Mortality Albrbar, Samira Shaban This thesis evaluates and compares the goodness-of-fit of six selected stochastic mortality models, based on Australian mortality data. These models are applied to both sexes, across three different age-group scenarios, and four lookback windows and five look forward windows. Four different criteria were applied in the model selection and evaluation and results indicate that the Lee-Carter model is more efficient. The forecast is for a period of 50-years (from 2012 to 2061) and results reveal that mortality rates are improving with age stratification. 2017 Thesis http://hdl.handle.net/20.500.11937/70521 Curtin University fulltext |
| spellingShingle | Albrbar, Samira Shaban An Analysis of the Australian Mortality |
| title | An Analysis of the Australian Mortality |
| title_full | An Analysis of the Australian Mortality |
| title_fullStr | An Analysis of the Australian Mortality |
| title_full_unstemmed | An Analysis of the Australian Mortality |
| title_short | An Analysis of the Australian Mortality |
| title_sort | analysis of the australian mortality |
| url | http://hdl.handle.net/20.500.11937/70521 |