The University of Southampton
×
Filter your search:
University of Southampton Institutional Repository

Smoothing mortality data: the English life table, 2010-12

Smoothing mortality data: the English life table, 2010-12
Smoothing mortality data: the English life table, 2010-12
We describe the most recent statistical methodology used to produce the 17th English Life Table, covering the period 2010–2012. Crude mortality rates are smoothed, or graduated, by using a combination of a generalized additive model and low dimensional parametric models. The approach to graduation acknowledges uncertainty, particularly in the highest age groups, by model averaging, using a simplified version of a full Bayesian analysis.
0964-1998
717-735
Dodd, Erengul
b3faed76-f22b-4928-a922-7f0b8439030d
Forster, Jonathan
e3c534ad-fa69-42f5-b67b-11617bc84879
Bijak, Jakub
e33bf9d3-fca6-405f-844c-4b2decf93c66
Smith, Peter
961a01a3-bf4c-43ca-9599-5be4fd5d3940
Dodd, Erengul
b3faed76-f22b-4928-a922-7f0b8439030d
Forster, Jonathan
e3c534ad-fa69-42f5-b67b-11617bc84879
Bijak, Jakub
e33bf9d3-fca6-405f-844c-4b2decf93c66
Smith, Peter
961a01a3-bf4c-43ca-9599-5be4fd5d3940

Dodd, Erengul, Forster, Jonathan, Bijak, Jakub and Smith, Peter (2018) Smoothing mortality data: the English life table, 2010-12. Journal of the Royal Statistical Society: Series A (Statistics in Society), 181 (3), 717-735. (doi:10.1111/rssa.12309).

Record type: Article

Abstract

We describe the most recent statistical methodology used to produce the 17th English Life Table, covering the period 2010–2012. Crude mortality rates are smoothed, or graduated, by using a combination of a generalized additive model and low dimensional parametric models. The approach to graduation acknowledges uncertainty, particularly in the highest age groups, by model averaging, using a simplified version of a full Bayesian analysis.

Text
Paper_rs - Accepted Manuscript
Restricted to Repository staff only
Available under License University of Southampton Accepted Manuscript Licence.
Request a copy
Text
Dodd_et_al-2018-Journal_of_the_Royal_Statistical_Society__Series_A_(Statistics_in_Society) - Version of Record
Available under License Creative Commons Attribution.
Download (1MB)

More information

Submitted date: 15 January 2016
Accepted/In Press date: 24 June 2017
e-pub ahead of print date: 11 August 2017
Published date: June 2018
Organisations: Statistics
Learn more about Mathematical Sciences research

Identifiers

Local EPrints ID: 389851
URI: http://eprints.soton.ac.uk/id/eprint/389851
DOI: doi:10.1111/rssa.12309
ISSN: 0964-1998
PURE UUID: 785928ee-441b-4563-88c7-d45913358a3c
ORCID for Erengul Dodd: ORCID iD orcid.org/0000-0001-6658-0990
ORCID for Jonathan Forster: ORCID iD orcid.org/0000-0002-7867-3411
ORCID for Jakub Bijak: ORCID iD orcid.org/0000-0002-2563-5040
ORCID for Peter Smith: ORCID iD orcid.org/0000-0003-4423-5410

Catalogue record

Date deposited: 05 Apr 2016 11:50
Last modified: 28 Oct 2023 02:09

Export record

Altmetrics

Contributors

Author: Erengul Dodd ORCID iD
Author: Jonathan Forster ORCID iD
Author: Jakub Bijak ORCID iD
Author: Peter Smith ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Library staff additional information
Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×