Properties of estimators of parameters in logistic regression models

Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/2267

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DC Field	Value	Language
dc.contributor.author	Al-Sarraf, Z	-
dc.contributor.author	Young, D H	-
dc.coverage.spatial	11	en
dc.date.accessioned	2008-05-22T13:20:43Z	-
dc.date.available	2008-05-22T13:20:43Z	-
dc.date.issued	1985	-
dc.identifier.citation	Maths Technical Papers (Brunel University).May 1985 , pp 1-11	en
dc.identifier.uri	http://bura.brunel.ac.uk/handle/2438/2267	-
dc.description.abstract	Properties of various types of estimators of the regression coefficients in linear logistic regression models are considered. The estimators include those based on maximum likelihood, minimum chi-square and weighted least squares. Theoretical approximations to the biases of the estimators are developed. The results of a large scale simulation investigation evaluating the moment properties of the estimators are presented for the case of a logistic model with a single explanatory variable.	en
dc.format.extent	211428 bytes	-
dc.format.mimetype	application/pdf	-
dc.language.iso	en	-
dc.publisher	Brunel University	en
dc.relation.ispartof	Brunel University Mathematics Technical Papers collection;	-
dc.relation.ispartofseries	;TR/05/85	-
dc.title	Properties of estimators of parameters in logistic regression models	en
dc.type	Research Paper	en
Appears in Collections:	Dept of Mathematics Research Papers Mathematical Sciences

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