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Comparison of three methods for estimating complete life tables

A question of interest in the demographic and actuarial fields is the estimation of the complete sets of qx values when the data are given in age groups. When the complete life tables are not available, estimating it from abridged life tables is necessary. Three methods such as King's Osculator...

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Main Author: R.I., Ibrahim
Format: Conference Paper
Language:en_US
Published: 2015
Subjects:
Heligman Pollard Model
King's Osculatory Interpolation
Six-point Lagrangian Interpolation
Online Access:http://ddms.usim.edu.my/handle/123456789/9145
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spelling my.usim-91452015-08-24T03:47:05Z Comparison of three methods for estimating complete life tables R.I., Ibrahim Heligman Pollard Model King's Osculatory Interpolation Six-point Lagrangian Interpolation A question of interest in the demographic and actuarial fields is the estimation of the complete sets of qx values when the data are given in age groups. When the complete life tables are not available, estimating it from abridged life tables is necessary. Three methods such as King's Osculatory Interpolation, Six-point Lagrangian Interpolation and Heligman-Pollard Model are compared using data on abridged life tables for Malaysian population. Each of these methods considered was applied on the abridged data sets to estimate the complete sets of qx values. Then, the estimated complete sets of qx values were used to produce the estimated abridged ones by each of the three methods. The results were then compared with the actual values published in the abridged life tables. Among the three methods, the Six-point Lagrangian Interpolation method produces the best estimates of complete life tables from five-year abridged life tables. © 2013 AIP Publishing LLC. 2015-08-24T03:47:05Z 2015-08-24T03:47:05Z 2013-01-01 Conference Paper 9780-7354-1150-0 0094-243X http://ddms.usim.edu.my/handle/123456789/9145 en_US
institution Universiti Sains Islam Malaysia
building USIM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universit Sains Islam i Malaysia
content_source USIM Institutional Repository
url_provider http://ddms.usim.edu.my/
language en_US
topic Heligman Pollard Model
King's Osculatory Interpolation
Six-point Lagrangian Interpolation
spellingShingle Heligman Pollard Model
King's Osculatory Interpolation
Six-point Lagrangian Interpolation
R.I., Ibrahim
Comparison of three methods for estimating complete life tables
description A question of interest in the demographic and actuarial fields is the estimation of the complete sets of qx values when the data are given in age groups. When the complete life tables are not available, estimating it from abridged life tables is necessary. Three methods such as King's Osculatory Interpolation, Six-point Lagrangian Interpolation and Heligman-Pollard Model are compared using data on abridged life tables for Malaysian population. Each of these methods considered was applied on the abridged data sets to estimate the complete sets of qx values. Then, the estimated complete sets of qx values were used to produce the estimated abridged ones by each of the three methods. The results were then compared with the actual values published in the abridged life tables. Among the three methods, the Six-point Lagrangian Interpolation method produces the best estimates of complete life tables from five-year abridged life tables. © 2013 AIP Publishing LLC.
format Conference Paper
author R.I., Ibrahim
author_facet R.I., Ibrahim
author_sort R.I., Ibrahim
title Comparison of three methods for estimating complete life tables
title_short Comparison of three methods for estimating complete life tables
title_full Comparison of three methods for estimating complete life tables
title_fullStr Comparison of three methods for estimating complete life tables
title_full_unstemmed Comparison of three methods for estimating complete life tables
title_sort comparison of three methods for estimating complete life tables
publishDate 2015
url http://ddms.usim.edu.my/handle/123456789/9145
_version_ 1645152549238472704
score 13.222552

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