114788
20190509132157.0
doi
10.5075/epfl-thesis-4020
nebis
5485396
THESIS
eng
4020
Statistical methods for insect choice experiments
2008
Lausanne
EPFL
2008
141
Theses
Michel Bierlaire, David Firth, Daniel Gabriel
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 counts, overdispersed relative to the multinomial distribution. Overdispersion reflects a lack of independence or heterogeneity among individuals and can lead to statistics having larger variances than expected and possible losses of efficiency. In this thesis, some distributions which consist of generalisations of the multinomial distribution have been developed. These models are based on non-homogeneous Markov chain theory, take the overdispersion into account, and potentially provide a physical interpretation of the overdispersion seen in olfactometer data. Some inference aspects are considered, including comparison of the asymptotic relative efficiencies of three different sampling schemes. The fact that the empirical distributions well approximate the corresponding asymptotic distributions is checked. Observable differences in parameter estimates between data generated under different hypotheses are also studied. Finally, different models intended to shed light on various aspects of the data and/or the experiment procedure, are applied to three real olfactometer datasets.
Censored data
Generalized linear model
Markov process
Olfactometer
Overdispersion
Parasitoid wasp
Sequential choice
Choix séquentiels
Données censurées
Guêpes parasitoïdes
Modèles linéaires généralisés
Olfactomètre
Processus de Markov
Surdispersion
241088
Ricard, Ingrid
162310
240476
Davison, Anthony Christopher
dir.
111184
10585108
http://infoscience.epfl.ch/record/114788/files/EPFL_TH4020.pdf
Texte intégral / Full text
Texte intégral / Full text
252136
STAT
U10124
oai:infoscience.tind.io:114788
DOI
SB
thesis
DOI2
GLOBAL_SET
SB
SB-SMA
IMA
EDMA
STAT
2008-1-29
2008
4020/THESES
EPFL
PUBLISHED
THESIS