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), 79-88. (doi:10.1016/S0895-7177(97)00171-4).


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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.

Item Type: Article
Digital Object Identifier (DOI): doi:10.1016/S0895-7177(97)00171-4
ISSNs: 0895-7177 (print)
Related URLs:
Subjects: H Social Sciences > H Social Sciences (General)
Divisions : University Structure - Pre August 2011 > School of Social Sciences > Social Statistics
ePrint ID: 34314
Accepted Date and Publication Date:
Date Deposited: 15 Jan 2008
Last Modified: 31 Mar 2016 12:01

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