Abstract
This research involves development of appropriate bootstrap methods for current life table estimators, where the data have a structure that is more complex than that arising from independent and identically distributed sampling. In general outline, the bootstrap approach described here involves conceptualization of a hypothetical cohort to correspond to each row of the life table. Simple random samples with replacement are repeatedly taken from the “observations” for each hypothetical cohort. These contribute to the construction of a set of simulated life tables which provides approximate sampling distributions for the estimators of the biometric functions contained within it. Methods are illustrated using data for the 1980 San Diego County (U.S.A.) population aged 65 and over.
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© 1992 Springer-Verlag Berlin Heidelberg
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Golbeck, A.L. (1992). Bootstrapping Current Life Table Estimators. In: Jöckel, KH., Rothe, G., Sendler, W. (eds) Bootstrapping and Related Techniques. Lecture Notes in Economics and Mathematical Systems, vol 376. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-48850-4_25
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DOI: https://doi.org/10.1007/978-3-642-48850-4_25
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