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Wiley InterScience | ||||||||||||||
  Journal of the Royal Statistical Society: Series C (Applied Statistics)Volume 56 Issue 4, Pages 479 - 492 Published Online: 20 Aug 2007 © 2010 The Royal Statistical Society and Blackwell Publishing Ltd Published on behalf of the Royal Statistical Society
Abstract | References | Full Text: HTML, PDF (Size: 432K) | Related Articles | Citation Tracking  Statistical inference for olfactometer data Copyright 2007 Royal Statistical Society KEYWORDS Generalized linear model • Markov process • Olfactometer • Overdispersion • Parasitoid wasp • Sequential choice ABSTRACTSummary. Olfactometer experiments are used to determine the effect of odours on the behaviour of organisms such as insects or nematodes, and typically result in data comprising many groups of small overdispersed counts. We develop a non-homogeneous Markov chain model for data from olfactometer experiments with parasitoid wasps and discuss a relation with the Dirichlet–multinomial distribution. We consider the asymptotic relative efficiencies of three different observation schemes and give an analysis of data intended to shed light on the effect of previous experience of odours in the wasps. [Received May 2006. Revised April 2007] | 
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 | Significance |
Try to forecast the results of 10 different events, some sporting, some cultural, some just odd, that will take place between May and July 2010. Have Fun! | |
