Statistical Modelling -

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Sommaire:
NPML estimation of the mixing distribution in general statistical models with unobserved random effects.- Some topics in optimum experimental design for generalized linear models.- Autoregressive modelling of Markov chains.- A case-study on accuracy of cytological diagnosis.- Dynamics and correlated responses in longitudinal data models.- Bootstrap methods for generalized linear mixed models with applications to small area estimation.- Confidence intervals for threshold parameters.- Optimal design for models incorporating the Richards function.- Mixed Markov renewal models of social processes.- Statistical inference based on a general model of unobserved heterogeneity.- An extended model for paired comparisons.- Indirect observations, composite link models and penalized likelihood PAUL.- Model estimation in nonlinear regression.- Pearson statistics, goodness of fit, and overdispersion in generalised linear models.- M-estimation: Some remedies.- Subject-specific and population-averaged questions for log-linear regression data.- Radon and lung cancer mortality: An example of a Bayesian ecological analysis.- IRREML, a tool for fitting a versatile class of mixed models for ordinal data.- Towards a general robust estimation approach for generalised regression models.- Comparing local fitting to other automatic smoothers.- Iterative reweighted partial least squares estimation for GLMs.- Protective estimation of longitudinal categorical data with nonrandom dropout.- Analysis of counts generated by an age-dependent branching process.- Quantitative risk assessment for clustered binary data.- Optimal design and lack fit in nonlinear regression models.- Nonparametric regression, kriging and process optimization.- Frailty in multiplicative intensity models.- Methods for assessing the adequacy of probability prediction models.- Forecast methods in regression models for categorical time series.- Standard errors, correlations and model analysis.- Mean and dispersion additive models: Applications and diagnostics.- Computational aspects in maximum penalized likelihood estimation.- Risk estimation using a surrogate marker measured with. Error.- Estimating attributable risks under an arithmetic mixture model.- A nonparametric method for detecting neural connectivity.- On the design of accelerated life testing experiments.- Splitting criteria in survival trees.- The different parameterizations of the GEE1 and GEE2.- List of authors.