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DC Field | Value | Language |
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dc.date.accessioned | 2022-04-13T11:19:45Z | - |
dc.date.available | 2022-04-13T11:19:45Z | - |
dc.date.issued | 2010 | - |
dc.identifier.citation | Scerri, M. (2010). Modelling and forecasting of stochastic mortality models (Bachelor's dissertation). | en_GB |
dc.identifier.uri | https://www.um.edu.mt/library/oar/handle/123456789/93723 | - |
dc.description | B.SC.(HONS)STATS.&OP.RESEARCH | en_GB |
dc.description.abstract | This dissertation paper sought out to model and forecast the mortality in the Maltese Islands using stochastic models. The modelling of mortality using a stochastic approach is a relatively new, but rapidly growing, area of research. In recent years, a vast literature on the subject has been developed. The focus was set on the National population data for the Maltese Islands for both males and females aged between 65 and 84 years old. The data used was obtained from the National Statistics Office of Malta. Firstly, an overview of the different mortality models proposed in the literature was provided. Then, two stochastic mortality models were modelled. Both models gave a relatively good fit to the data. Finally the models were used to forecast future mortality rates. The method used for forecasting was that of a random walk with drift. The random walk with drift is most commonly used in most mortality literature. Adequate results were obtained. | en_GB |
dc.language.iso | en | en_GB |
dc.rights | info:eu-repo/semantics/restrictedAccess | en_GB |
dc.subject | Mathematical models | en_GB |
dc.subject | Mortality -- Malta | en_GB |
dc.subject | Stochastic analysis | en_GB |
dc.title | Modelling and forecasting of stochastic mortality models | en_GB |
dc.type | bachelorThesis | en_GB |
dc.rights.holder | The copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder. | en_GB |
dc.publisher.institution | University of Malta | en_GB |
dc.publisher.department | Faculty of Science. Department of Statistics and Operations Research | en_GB |
dc.description.reviewed | N/A | en_GB |
dc.contributor.creator | Scerri, Mikaela (2010) | - |
Appears in Collections: | Dissertations - FacSci - 1965-2014 Dissertations - FacSciSOR - 2000-2014 |
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File | Description | Size | Format | |
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BSC(HONS)STATISTICS_Scerri _Mikaela_2010.PDF Restricted Access | 6.06 MB | Adobe PDF | View/Open Request a copy |
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