Quotation Mair, Patrick, Hudec, Marcus. 2009. Multivariate Weibull mixtures with proportional hazard restrictions for dwell time based session clustering with incomplete data. Applied Statistics: Journal of the Royal Statistical Society Series C 58 (5): 619-639.


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Abstract

Emanating from classical Weibull mixture models we propose a framework for clustering survival data with various more parsimonious models by imposing restrictions on the distributional parameters. We show that these restrictions on the Weibull mixtures correspond to different proportional hazard restrictions across mixture components and Web page areas. A parametric cluster approach based on the EM algorithm is carried out on a multivariate data set. Our model set-up encompasses incomplete-data structures as well as censoring observations. We apply the methodology on retail data stemming from a global e-commerce company. Sessions are clustered with respect to the dwell times that a user spends on certain page areas. The cluster solution that is found allows for a detailed examination of the navigation behaviour in terms of the hazard and survivor functions within each component DOI: 10.1111/j.1467-9876.2009.00665.x

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Publication's profile

Status of publication Published
Affiliation WU
Type of publication Journal article
Journal Journal of the Royal Statistical Society: Series C (Applied Statistics)
Citation Index SCI
WU Journalrating 2009 A
WU-Journal-Rating new FIN-A, VW-C, WH-B
Language English
Title Multivariate Weibull mixtures with proportional hazard restrictions for dwell time based session clustering with incomplete data
Volume 58
Number 5
Year 2009
Page from 619
Page to 639
URL http://www3.interscience.wiley.com/journal/122343017/abstract

Associations

People
Mair, Patrick (Former researcher)
External
Hudec, Marcus
Organization
Institute for Statistics and Mathematics IN (Details)
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