Academic Journal
A mortality model based on a mixture distribution function.
| Τίτλος: | A mortality model based on a mixture distribution function. |
|---|---|
| Συγγραφείς: | Mazzuco, Stefano1 (AUTHOR), Scarpa, Bruno1 (AUTHOR), Zanotto, Lucia1 (AUTHOR) |
| Πηγή: | Population Studies. Jul2018, Vol. 72 Issue 2, p191-200. 10p. |
| Θεματικοί όροι: | *Mortality -- Mathematical models, *Gaussian distribution, Death rate, Mortality, Mixture distributions (Probability theory) |
| Περίληψη: | 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'). [ABSTRACT FROM AUTHOR] |
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| Βάση Δεδομένων: | Business Source Index |
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| Items | – Name: Title Label: Title Group: Ti Data: A mortality model based on a mixture distribution function. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Mazzuco%2C+Stefano%22">Mazzuco, Stefano</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Scarpa%2C+Bruno%22">Scarpa, Bruno</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zanotto%2C+Lucia%22">Zanotto, Lucia</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Population+Studies%22">Population Studies</searchLink>. Jul2018, Vol. 72 Issue 2, p191-200. 10p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Mortality+--+Mathematical+models%22">Mortality -- Mathematical models</searchLink><br />*<searchLink fieldCode="DE" term="%22Gaussian+distribution%22">Gaussian distribution</searchLink><br /><searchLink fieldCode="DE" term="%22Death+rate%22">Death rate</searchLink><br /><searchLink fieldCode="DE" term="%22Mortality%22">Mortality</searchLink><br /><searchLink fieldCode="DE" term="%22Mixture+distributions+%28Probability+theory%29%22">Mixture distributions (Probability theory)</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: 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'). [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Population Studies is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/00324728.2018.1439519 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 10 StartPage: 191 Subjects: – SubjectFull: Mortality -- Mathematical models Type: general – SubjectFull: Gaussian distribution Type: general – SubjectFull: Death rate Type: general – SubjectFull: Mortality Type: general – SubjectFull: Mixture distributions (Probability theory) Type: general Titles: – TitleFull: A mortality model based on a mixture distribution function. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Mazzuco, Stefano – PersonEntity: Name: NameFull: Scarpa, Bruno – PersonEntity: Name: NameFull: Zanotto, Lucia IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul2018 Type: published Y: 2018 Identifiers: – Type: issn-print Value: 00324728 Numbering: – Type: volume Value: 72 – Type: issue Value: 2 Titles: – TitleFull: Population Studies Type: main |
| ResultId | 1 |