A mortality model based on a mixture distribution function
Bibliographic Data
| ID | 4269249 |
|---|---|
| Authors | Stefano Mazzuco (0000-0002-1686-5477, University of Padua), Bruno Scarpa (0000-0002-9628-5164, University of Padua), Lucia Zanotto (0000-0003-1877-4170, University of Padua) |
| Year | 2018 |
| Volume | 72 |
| Issue | 2 |
| Pages | 191-200 |
| Publication date | 2018-05-04 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Population Studies (JOURNAL) |
| Journal identifiers | ISSN: 0032-4728 • E-ISSN: 1477-4747 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/00324728.2018.1439519 |
| PMID | 29592794 |
| OpenAlex | W2794793952 |
| Language | EN |
| Citations received | 7 |
| References cited | 20 |
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')
Asymptotic distribution · Distribution (mathematics) · Function (biology) · Generalization · Half-normal distribution · Mathematical analysis · Mixture model · Range (aeronautics) · Skew · Statistics · Applied Mathematics · Computer Science · Engineering · Global Health Care Issues · Health and Conflict Studies · Insurance, Mortality, Demography, Risk Management · Mathematics
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| Unique citing works | 7 |
|---|---|
| Citations per year | 1,4 |
| Citation span | 2021 - 2024 (4) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 7 |