Reference : Detection of aggregative behaviour in binary choice experiments

	Document type :	Scientific congresses and symposiums : Poster
	Discipline(s) :	Life sciences : Agriculture & agronomy
	To cite this reference:	http://hdl.handle.net/2268/100342

Title :	Detection of aggregative behaviour in binary choice experiments
Language :	English
Author, co-author :	Brostaux, Yves [Université de Liège - ULg > Sciences agronomiques > Statistique, Inform. et Mathém. appliquée à la bioingénierie >]
Publication date :	22-Aug-2011
Page number :	A0
Peer reviewed :	Yes
On invitation :	No
Audience :	International
Event name :	58th ISI World Statistics Congress
Event date :	21st-26th august 2011
Event organizer :	International Statistical Institute
Event place (city) :	Dublin
Event country :	Ireland
Keywords :	[en] social behaviour ; generalized linear model ; overdispersion
Abstract :	[en] Aggregative behaviour can be defined as a natural tendency for individuals to cluster in space into groups of varying sizes. In entomology, this behaviour can be detected in binary choice experiments. Analysis of these experiments reveals specific characteristics (unequal counts between repetitions, dependence of individual choices) that make the traditional adjustment tests fail. We demonstrate that the use of generalized linear models can circumvent these pitfalls and deliver a reliable diagnosis on the social behaviour of the studied invertebrates. The strength of this behaviour can then be evaluated through the use of common correlation models.
Permalink :	http://hdl.handle.net/2268/100342

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