Statistical Modelling: Proceedings of the 10th International Workshop on Statistical Modelling, Innsbruck, Austria, July 10-14, 1995 Book

	Preface
	NPML estimation of the mixing distribution in general statistical models with unobserved random effects	1
	Some topics in optimum experimental design for generalized linear models	11
	Autoregressive modelling of Markov chains	19
	A case-study on accuracy of cytological diagnosis	27
	Dynamics and correlated responses in longitudinal data models	35
	Bootstrap methods for generalized linear mixed models with applications to small area estimation	43
	Confidence intervals for threshold parameters	53
	Optimal design for models incorporating the Richards function	61
	Mixed Markov renewal models of social processes	67
	Statistical inference based on a general model of unobserved heterogeneity	75
	An extended model for paired comparisons	83
	Indirect observations, composite link models and penalized likelihood	91
	Model estimation in nonlinear regression	99
	Pearson statistics, goodness of fit, and overdispersion in generalised linear models	109
	M-estimation: Some remedies	117
	Subject-specific and population-averaged questions for log-linear regression data	125
	Radon and lung cancer mortality: An example of a Bayesian ecological analysis	133
	IRREML, a tool for fitting a versatile class of mixed models for ordinal data	141
	Towards a general robust estimation approach for generalised regression models	151
	Comparing local fitting to other automatic smoothers	161
	Iterative reweighted partial least squares estimation for GLMs	169
	Protective estimation of longitudinal categorical data with nonrandom dropout	177
	Analysis of counts generated by an age-dependent branching process	185
	Quantitative risk assessment for clustered binary data	193
	Optimal design and lack of fit in nonlinear regression models	201
	Nonparametric regression, kriging and process optimization	207
	Frailty in multiplicative intensity models	215
	Methods for assessing the adequacy of probability prediction models	225
	Forecast methods in regression models for categorical time series	233
	Standard errors, correlations and model analysis	241
	Mean and dispersion additive models: Applications and diagnostics	249
	Computational aspects in maximum penalized likelihood estimation	257
	Risk estimation using a surrogate marker measured with error	267
	Estimating attributable risks under an arithmetic mixture model	277
	A nonparametric method for detecting neural connectivity	287
	On the design of accelerated life testing experiments	297
	Splitting criteria in survival trees	305
	The different parameterizations of the GEE1 and GEE2	315
	List of authors	325