Catchpole, Edward A. and Morgan, Byron J. T. (1997) Detecting parameter redundancy. Biometrika, 84 (1). pp. 187-196. ISSN 0006-3444. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)
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.
|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:||12 Jun 2014 08:35|
|Resource URI:||https://kar.kent.ac.uk/id/eprint/18339 (The current URI for this page, for reference purposes)|