Detecting parameter redundancy

Catchpole, E.A. and Morgan, B.J.T. (1997) Detecting parameter redundancy. Biometrika, 84 (1). pp. 187-196. ISSN 0006-3444. (The full text of this publication is not available from this repository)

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Abstract

Necessary and sufficient conditions are established for the parameter redundancy of a wide class of nonlinear models for data distributed according to the exponential family. The likelihood surfaces for parameter-redundant models possess completely hat ridges. Whether a model is parameter redundant can be established by checking the rank of a derivative matrix, using a symbolic algebra package. A feature of contingency table applications is the need to extend conclusions from particular to general dimensions. We meet this via an extension theorem. Examples are given from the area of animal survival estimation using mark-recapture/recovery data.

Item Type: Article
Uncontrolled keywords: contingency table; diagnostics; identifiability; likelihood; nonlinear model; parameter redundancy; recapture data; recovery data; ridge; symbolic algebra
Depositing User: T. Nasir
Date Deposited: 28 Oct 2009 12:12
Last Modified: 28 Oct 2009 12:12
Resource URI: http://kar.kent.ac.uk/id/eprint/18339 (The current URI for this page, for reference purposes)
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