Skip to main content

The Use of Mixture Models in Capture-Recapture

Yu, Chen (2015) The Use of Mixture Models in Capture-Recapture. Doctor of Philosophy (PhD) thesis, University of Kent. (KAR id:50775)

Language: English
Download (1MB) Preview
[thumbnail of 218Chen_Yu.pdf]
This file may not be suitable for users of assistive technology.
Request an accessible format


Mixture models have been widely used to model heterogeneity. In this thesis, we focus on the use of mixture models in capture--recapture, for both closed populations and open populations.

We provide both practical and theoretical investigations. A new model is proposed for closed populations and the practical difficulties of model fitting for mixture models are demonstrated for open populations.

As the number of model parameters can increase with the number of mixture components, whether we can estimate all of the parameters using the method of maximum likelihood is an important issue. We explore this using formal methods and develop general rules to ensure that all parameters are estimable.

Item Type: Thesis (Doctor of Philosophy (PhD))
Thesis advisor: Byron, Morgan
Thesis advisor: Cole, Diana
Uncontrolled keywords: Statistics; Mixture model; Parameter redundancy; Symbolic computation
Subjects: Q Science > QA Mathematics (inc Computing science) > QA276 Mathematical statistics
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Mathematics, Statistics and Actuarial Science
Funders: Organisations -1 not found.
Depositing User: Users 1 not found.
Date Deposited: 05 Oct 2015 15:00 UTC
Last Modified: 11 Dec 2022 20:12 UTC
Resource URI: (The current URI for this page, for reference purposes)
  • Depositors only (login required):


Downloads per month over past year