000151673 001__ 151673
000151673 005__ 20190522142433.0
000151673 0247_ $$2doi$$a10.1007/s13253-010-0042-6
000151673 022__ $$a1537-2693
000151673 02470 $$2ISI$$a000291604000001
000151673 037__ $$aARTICLE
000151673 245__ $$aComparison of Models for Olfactometer Data
000151673 260__ $$c2011$$bSpringer-Verlag
000151673 269__ $$a2011
000151673 336__ $$aJournal Articles
000151673 500__ $$aNational Licences
000151673 520__ $$aOlfactometer experiments are used to study the responses of arthropods to potential attractants, for purposes such as understanding natural defenses of plants against their herbivores. Such experiments typically lead to multivariate data consisting of small correlated counts, which are overdispersed relative to standard models. In this paper models that account for the overdispersion under different hypotheses on insect behaviour are described and illustrated with an example, and a graphical approach to discriminating among them is briefly discussed.
000151673 6531_ $$aDiscrete choice; Kaplan--Meier estimate; Markov process; Olfactometer; Overdispersion; Survivor function; Wasp
000151673 700__ $$0240476$$g111184$$aDavison, A. C.
000151673 700__ $$g162310$$aRicard, I.$$0241088
000151673 773__ $$j16$$tJournal of Agricultural, Biological, and Environmental Statistics$$k2$$q157-169
000151673 8564_ $$uhttps://infoscience.epfl.ch/record/151673/files/13253_2010_Article_42.pdf$$zPUBLISHER'S VERSION$$s380489
000151673 909C0 $$xU10124$$0252136$$pSTAT
000151673 909CO $$pSB$$particle$$ooai:infoscience.tind.io:151673
000151673 917Z8 $$x111184
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000151673 937__ $$aEPFL-ARTICLE-151673
000151673 973__ $$rREVIEWED$$sPUBLISHED$$aEPFL
000151673 980__ $$aARTICLE