Please use this identifier to cite or link to this item: http://ddms.usim.edu.my:80/jspui/handle/123456789/9145
Title: Comparison of three methods for estimating complete life tables
Authors: R.I., Ibrahim
Keywords: Heligman Pollard Model
King's Osculatory Interpolation
Six-point Lagrangian Interpolation
Issue Date: 1-Jan-2013
Abstract: 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.
URI: http://ddms.usim.edu.my/handle/123456789/9145
ISBN: 9780-7354-1150-0
ISSN: 0094-243X
Appears in Collections:AIP Conference Proceedings

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