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Methods of expanding an abridged life tables: Comparison between two methods

A question of interest in the demografic and actuarial fields is the estimation of the complete sets of q(x)-values when the data are given in age groups. This study presents two techniques of expanding an abridged life table to a complete ones. The two expansion techniques used in the study are Kin...

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Main Authors:	Ibrahim, R.I., Siri, Z.
Format:	Article
Published:	Penerbit Universiti Kebangsaan Malaysia 2011
Subjects:	Q Science (General)
Online Access:	http://eprints.um.edu.my/14625/
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spelling	my.um.eprints.146252019-03-19T08:56:28Z http://eprints.um.edu.my/14625/ Methods of expanding an abridged life tables: Comparison between two methods Ibrahim, R.I. Siri, Z. Q Science (General) A question of interest in the demografic and actuarial fields is the estimation of the complete sets of q(x)-values when the data are given in age groups. This study presents two techniques of expanding an abridged life table to a complete ones. The two expansion techniques used in the study are King's Osculatory Interpolation and Heligman-Pollard model. This work evaluated and compared the performance of King's Osculatory Interpolation and Heligman-Pollard model. For that purpose, empirical data sets on abridged life tables for Malaysian populations for the period of 1991, 1995 and 1999 for both gender were collected. Then each of the expanding techniques considered was applied to these abridged data sets. The complete sets of q(x)-values obtained from these two techniques were then used to produce the estimated abridged ones. These results were then compared with the actual values published in the abridged tables. Penerbit Universiti Kebangsaan Malaysia 2011 Article PeerReviewed Ibrahim, R.I. and Siri, Z. (2011) Methods of expanding an abridged life tables: Comparison between two methods. Sains Malaysiana, 40 (12). pp. 1449-1453. ISSN 0126-6039
institution	Universiti Malaya
building	UM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Malaya
content_source	UM Research Repository
url_provider	http://eprints.um.edu.my/
topic	Q Science (General)
spellingShingle	Q Science (General) Ibrahim, R.I. Siri, Z. Methods of expanding an abridged life tables: Comparison between two methods
description	A question of interest in the demografic and actuarial fields is the estimation of the complete sets of q(x)-values when the data are given in age groups. This study presents two techniques of expanding an abridged life table to a complete ones. The two expansion techniques used in the study are King's Osculatory Interpolation and Heligman-Pollard model. This work evaluated and compared the performance of King's Osculatory Interpolation and Heligman-Pollard model. For that purpose, empirical data sets on abridged life tables for Malaysian populations for the period of 1991, 1995 and 1999 for both gender were collected. Then each of the expanding techniques considered was applied to these abridged data sets. The complete sets of q(x)-values obtained from these two techniques were then used to produce the estimated abridged ones. These results were then compared with the actual values published in the abridged tables.
format	Article
author	Ibrahim, R.I. Siri, Z.
author_facet	Ibrahim, R.I. Siri, Z.
author_sort	Ibrahim, R.I.
title	Methods of expanding an abridged life tables: Comparison between two methods
title_short	Methods of expanding an abridged life tables: Comparison between two methods
title_full	Methods of expanding an abridged life tables: Comparison between two methods
title_fullStr	Methods of expanding an abridged life tables: Comparison between two methods
title_full_unstemmed	Methods of expanding an abridged life tables: Comparison between two methods
title_sort	methods of expanding an abridged life tables: comparison between two methods
publisher	Penerbit Universiti Kebangsaan Malaysia
publishDate	2011
url	http://eprints.um.edu.my/14625/
_version_	1643689860851040256
score	13.211869

Methods of expanding an abridged life tables: Comparison between two methods

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