dc.contributor.author | Simwa, Richard O | |
dc.date.accessioned | 2022-06-10T07:56:24Z | |
dc.date.available | 2022-06-10T07:56:24Z | |
dc.date.issued | 2018 | |
dc.identifier.uri | http://medcraveonline.com/BBIJ/BBIJ-07-00202.pdf | |
dc.identifier.uri | http://repository.kca.ac.ke/handle/123456789/671 | |
dc.description.abstract | A life table is an essential tool for valuing life insurance policies and it presents the
probability distribution of the future life–time of a group of lives at the various ages. They
are developed by the experts with actuarial knowledge. The life table will vary with the
group of lives considered in the mortality investigation. Further the variation may also
prevail when the same group of lives is investigated at different time periods, due to the
effect of generational change in mortality. In this paper we apply statistical inference on
published life tables for the Kenyan mortality experience for the mortality investigations
performed during two separate disjoint time periods, to investigate significance of the
variation in the mortality as the periods of the investigation vary. It is shown that the
variation in the probability distribution of the future life–time for the Kenyan mortality
experience is significant. Thus we confirm, as known in practice by the actuaries, that there
is a need for continuous mortality investigations and the construction of the corresponding
life tables, every after some time interval, to account for the variation in mortality as
generations vary. | en_US |
dc.language.iso | en | en_US |
dc.publisher | MedCrave | en_US |
dc.subject | life table, curtate future life–time, probability mass function, cumulative distribution function, goodness–of–fit tests, kenyan mortality experience | en_US |
dc.title | On the variation of the probability distribution of the future life–time: a case of the kenyan mortality experience | en_US |
dc.type | Article | en_US |