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G. Bonnes ; A. Darre ; G. Fugit ; R. Gadoud ; R. Jussiau ; B. Mangeol ; N. Nadreau ; A. Papet ; R. Valognes | Paris [FRA] : Foucher | 1991article/chapitre/communication
P. Mccloud ; J. Darroch | 1995This paper provides a log-linear method for the analysis of contingency tables where the population of individuals is divided into distinct subpopulations and where repeated measurements are made on each individual. The proposed model for the fu[...]article/chapitre/communication
article/chapitre/communication
Procedures for testing homogeneity of proportions, in the presence of over-dispersion or under-dispersion, occurring in several groups in toxicology (teratology or mutagenicity) or other similar fields, are developed. We consider C(alpha) (Neyma[...]article/chapitre/communication
S. Naranjo ; H. Flint ; T. Henneberry | 1996We used an empirical relationship to develop models for estimating and for classifying the population density of adult Bemisia tabaci (Gennadius) (Homoptera: Aleyrodidae) in cotton based on the proportion of infested leaves. We examined models b[...]article/chapitre/communication
C. Millier | 1975article/chapitre/communication
D. Chessel ; G. Gros | 1982article/chapitre/communication
article/chapitre/communication
D. Chessel ; J. Croze | 1978article/chapitre/communication
article/chapitre/communication
A. Azzalini | 1994A stochastic model is proposed for the study of the influence of time-dependent covariates on the marginal distribution of the binary response in serially correlated binary data. Markov chains are expressed in terms of transitional rather than m[...]article/chapitre/communication
G. Nachman | 1981article/chapitre/communication
A. Cerioli | 1997In this paper we suggest two modified chi-squared tests of independence in 2 x 2 tables when the data are spatially autocorrelated. For this purpose, we first derive the asymptotic distribution of standard test statistics based on the sample cro[...]