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Parameter structures in the exponential class

Thesis (PHD)--University of Pretoria, 2011.

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Other Authors: Crowther, N.A.S. (Nicolaas Andries Sadie), 1944-
Format: Thesis
Published: University of Pretoria 2013
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access_status_str Open Access
author2 Crowther, N.A.S. (Nicolaas Andries Sadie), 1944-
author_browse Crowther, N.A.S. (Nicolaas Andries Sadie), 1944-
author_facet Crowther, N.A.S. (Nicolaas Andries Sadie), 1944-
collection Thesis
dc_rights_str_mv © 2011 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. B12/4/137/
description Thesis (PHD)--University of Pretoria, 2011.
format Thesis
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institution University of Pretoria (South Africa)
last_indexed 2026-06-10T12:38:37.863Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2013
publishDateRange 2013
publishDateSort 2013
publisher University of Pretoria
publisherStr University of Pretoria
record_format dspace
source_str UPSpace — University of Pretoria Institutional Repository
spelling oai:repository.up.ac.za:2263/31550 Parameter structures in the exponential class Crowther, N.A.S. (Nicolaas Andries Sadie), 1944- Strydom, Hendrina Fredrika UCTD Thesis (PHD)--University of Pretoria, 2011. Maximum likelihood estimation of parameter structures in the exponential class is considered by using a procedure for maximum likelihood estimation under constraints. This procedure does not require maximization of the likelihood function or derivation of the likelihood equations. Constraints are imposed on the expected values of the canonical statistics and not specifically on the parameters themselves. It provides a solution to maximum likelihood estimation in a restricted parameter space. Maximum likelihood estimation under constraints provides a flexible procedure for the simultaneous modelling of specific structures of means and variances - in both the univariate and multivariate case. In the univariate case, it includes linear models for means and variances, heteroskedastic linear regression, analysis of variance (the balanced and unbalanced case where the assumption of homoscedasticity is not met), gamma regression and linear mixed models. Heteroscedastic and/or autocorrelated disturbances in econometric applications are dealt with by treating correlated observations as a single multivariate observation. The same procedure is used for maximum likelihood estimation of parameter structures in the case of multivariate normal samples. The procedure provides a new statistical methodology for the analysis of specific structures in mean vectors and covariance matrices - including the case where the sample size is small relative to the dimension of the observations. Special cases include different variations of the Behrens-Fisher problem, proportional covariance matrices and proportional mean vectors. Maximum likelihood estimation under constraints as a general approach to estimation in a variety of problems concerning covariance matrices, is also considered. Estimation of Wishart matrices is a special case of the general procedure. Specific structures are illustrated with real data examples. Maximum likelihood estimation under constraints provides a convenient method to obtain maximum likelihood estimates of mean and (co)variance structures directly - also in problematic situations where the likelihood equations need to be solved numerically. Statistics PhD Unrestricted 2013-09-09T12:21:58Z 2012-06-07 2013-09-09T12:21:58Z 2012-04-13 2011 2012-02-21 Thesis Strydom, HF 2011, Parameter structures in the exponential class, PhD Thesis, University of Pretoria, Pretoria, viewed yymmdd <http://hdl.handle.net/2263/31550> B12/4/137/ag http://hdl.handle.net/2263/31550 http://upetd.up.ac.za/thesis/available/etd-02212012-080449/ © 2011 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. B12/4/137/ application/pdf University of Pretoria
spellingShingle UCTD
Parameter structures in the exponential class
title Parameter structures in the exponential class
title_full Parameter structures in the exponential class
title_fullStr Parameter structures in the exponential class
title_full_unstemmed Parameter structures in the exponential class
title_short Parameter structures in the exponential class
title_sort parameter structures in the exponential class
topic UCTD
url http://hdl.handle.net/2263/31550
http://upetd.up.ac.za/thesis/available/etd-02212012-080449/