Abstract
When focusing on the regularity discernible in a collection of life tables, the sequence of values of the survivor function at successive ages, or the sequence of conditional probabilites of death has been treated as a multivariate “observation.” After reviewing such works, this paper demonstrates the use of the same strategy in the comparative analysis of cumulative distributions such as the income distribution.
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© 1992 Springer Science+Business Media Dordrecht
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Namboodiri, K., Dayal, H.H. (1992). Survivor Functions as Dependent Variables In Demographic Analysis. In: Klein, J.P., Goel, P.K. (eds) Survival Analysis: State of the Art. Nato Science, vol 211. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-7983-4_26
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DOI: https://doi.org/10.1007/978-94-015-7983-4_26
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