COMPARISON OF QUASI‐LIKELIHOOD MODELS FOR OVERDISPERSION

N. David Yanez III; Jeffrey Wilson

doi:10.1111/j.1467-842X.1995.tb00655.x

COMPARISON OF QUASI‐LIKELIHOOD MODELS FOR OVERDISPERSION

N. David Yanez III, Jeffrey Wilson

Business, W. P. Carey School of (WPC)

Research output: Contribution to journal › Article › peer-review

3 Scopus citations

Abstract

Methods for modelling overdispersed data are compared. These methods are considered to be of two kinds: a likelihood based approach and a method‐of‐moments based approach. The likelihood method facilitates computation of maximum likelihood estimates which can be obtained through the same algorithm as that of weighted least squares. The quasi‐likelihood or moment approaches seem to be appropriate when severe overdispersion may be present. The comparisons are made via analyses of the Ames Salmonella Reverse Mutagenicity Assay (Margolin et a/., 1981) and a seed dataset (Crow‐der, 1978).

Original language	English (US)
Pages (from-to)	217-231
Number of pages	15
Journal	Australian Journal of Statistics
Volume	37
Issue number	2
DOIs	https://doi.org/10.1111/j.1467-842X.1995.tb00655.x
State	Published - Jun 1995

Keywords

Generalised extended quasi‐likelihood
extended quasi‐likelihoods.
joint modelling

ASJC Scopus subject areas

Statistics and Probability

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10.1111/j.1467-842X.1995.tb00655.x

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abstract = "Methods for modelling overdispersed data are compared. These methods are considered to be of two kinds: a likelihood based approach and a method‐of‐moments based approach. The likelihood method facilitates computation of maximum likelihood estimates which can be obtained through the same algorithm as that of weighted least squares. The quasi‐likelihood or moment approaches seem to be appropriate when severe overdispersion may be present. The comparisons are made via analyses of the Ames Salmonella Reverse Mutagenicity Assay (Margolin et a/., 1981) and a seed dataset (Crow‐der, 1978).",

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AB - Methods for modelling overdispersed data are compared. These methods are considered to be of two kinds: a likelihood based approach and a method‐of‐moments based approach. The likelihood method facilitates computation of maximum likelihood estimates which can be obtained through the same algorithm as that of weighted least squares. The quasi‐likelihood or moment approaches seem to be appropriate when severe overdispersion may be present. The comparisons are made via analyses of the Ames Salmonella Reverse Mutagenicity Assay (Margolin et a/., 1981) and a seed dataset (Crow‐der, 1978).

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KW - extended quasi‐likelihoods.

KW - joint modelling

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COMPARISON OF QUASI‐LIKELIHOOD MODELS FOR OVERDISPERSION

Abstract

Keywords

ASJC Scopus subject areas

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