Skip to main content

The relationship between double-exponential families and extended quasi-likelihood families, with application to modelling Geissler's human sex ratio data

Buy Article:

$51.00 plus tax (Refund Policy)

Abstract:

The human sex ratio data, collected in Saxony in the 19th century by Geissler, are reanalysed by joint modelling of the mean and dispersion. Extended quasi-likelihood and the unnormalized double-exponential family are shown to lead to identical inference. The use of the unnormalized form is discussed. The relationship between multinomial and Poisson models is studied for overdispersed data.

Keywords: Double-exponential family; Extended quasi-likelihood; Generalized linear models;; Joint modelling of mean and dispersion; Overdispersion

Document Type: Original Article

DOI: http://dx.doi.org/10.1111/1467-9876.00201

Affiliations: 1: Seoul National University, Korea, 2: Imperial College of Science, Technology and Medicine, London, UK

Publication date: January 1, 2000

bpl/rssc/2000/00000049/00000003/art00009
dcterms_title,dcterms_description,pub_keyword
6
5
20
40
5

Access Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more