The University of Southampton
University of Southampton Institutional Repository

The fitting of parameter-constrained demographic models

McDonald, J.W. and Prevost, A.T. (1997) The fitting of parameter-constrained demographic models Mathematical and Computer Modelling, 26, (6), pp. 79-88. (doi:10.1016/S0895-7177(97)00171-4).

Record type: Article

Abstract

It is common to have knowledge about the unknown parameters of a demographic model which restricts the values of the parameters. With such knowledge, it is reasonable to require that our parameter estimates satisfy the parameter constraints and one should use a constrained estimation procedure. We briefly review existing approaches to fitting parameter-constrained models. We describe a Bayesian approach for the fitting of parameter-constrained demographic models, which is the main focus of the paper. We illustrate the Bayesian approach by fitting a parameter-constrained proportional hazards model based on current-status data and a parameter-constrained log-linear regression model for standardized mortality ratios.

Full text not available from this repository.

More information

Published date: 1997

Identifiers

Local EPrints ID: 34314
URI: http://eprints.soton.ac.uk/id/eprint/34314
ISSN: 0895-7177
PURE UUID: 634ca190-6d3a-408b-bd7f-028a8b6e4262

Catalogue record

Date deposited: 15 Jan 2008
Last modified: 17 Jul 2017 15:50

Export record

Altmetrics

Contributors

Author: J.W. McDonald
Author: A.T. Prevost

University divisions

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

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.

×