Statistical modelling : proceedings of the 10th International Workshop on Statistical Modelling, Innsbruck, Austria, 10-14 July, 1995
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書誌事項
Statistical modelling : proceedings of the 10th International Workshop on Statistical Modelling, Innsbruck, Austria, 10-14 July, 1995
（Lecture notes in statistics, 104）
Springer-Verlag, c1995
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Includes bibliographical references
内容説明・目次
内容説明
This volume presents the published proceedings of the lOth International Workshop on Statistical Modelling, to be held in Innsbruck, Austria from 10 to 14 July, 1995. This workshop marks an important anniversary. The inaugural workshop in this series also took place in Innsbruck in 1986, and brought together a small but enthusiastic group of thirty European statisticians interested in statistical modelling. The workshop arose out of two G LIM conferences in the U. K. in London (1982) and Lancaster (1985), and from a num ber of short courses organised by Murray Aitkin and held at Lancaster in the early 1980s, which attracted many European statisticians interested in Generalised Linear Modelling. The inaugural workshop in Innsbruck con centrated on GLMs and was characterised by a number of features - a friendly and supportive academic atmosphere, tutorial sessions and invited speakers presenting new developments in statistical modelling, and a very well organised social programme. The academic programme allowed plenty of time for presentation and for discussion, and made available copies of all papers beforehand. Over the intervening years, the workshop has grown substantially, and now regularly attracts over 150 participants. The scope of the workshop is now much broader, reflecting the growth in the subject of statistical modelling over ten years. The elements ofthe first workshop, however, are still present, and participants always find the meetings relevant and stimulating.
目次
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.
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