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• W2794793952 abstract "A new mortality model based on a mixture distribution function is proposed. We mix a half-normal distribution with a generalization of the skew-normal distribution. As a result, we get a six-parameter distribution function that has a good fit with a wide variety of mortality patterns. This mixture model is fitted to several mortality data schedules and compared with the Siler (five-parameter) and Heligman-Pollard (eight-parameter) models. Our proposal serves as a convenient compromise between the Heligman-Pollard model (which ensures a good fit with data but is often overparameterized) and the Siler model (which is more compact but fails to capture 'accident humps')." @default.
• W2794793952 created "2018-04-06" @default.
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• W2794793952 date "2018-03-29" @default.
• W2794793952 modified "2023-10-18" @default.
• W2794793952 title "A mortality model based on a mixture distribution function" @default.
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• W2794793952 doi "https://doi.org/10.1080/00324728.2018.1439519" @default.
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