Statistical Modelling

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

Häftad, Engelska, 1995

Av G. U. H. Seeber, International Workshop on Statistical Mo, Gilg U.H. Seeber, Brian J. Francis, Reinhold Hatzinger, Gabriela Steckel-Berger, Gilg U. H. Seeber

1 409 kr

Beställningsvara. Skickas inom 10-15 vardagar

Fri frakt för medlemmar vid köp för minst 249 kr.

This volume presents the edited proceedings of the 10th International Workshop on Statistical Modelling held in Innsbruck, Austria from July 10 - 14, 1995. As in previous years, the aim of the conference is to provide an interchange of ideas concerned with real practical problems in statistical modelling. The scope of the meeting is much broader now, reflecting the growth of the subject of statistical modelling in the past ten years. This volume contains some forty contributed papers as well as the invited papers, covering a wide variety of application areas from epidemiology to education, and from agriculture to sociology.

Produktinformation

Utgivningsdatum1995-06-29
Mått155 x 235 x 19 mm
Vikt522 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Statistics
Antal sidor344
Upplaga1995
FörlagSpringer-Verlag New York Inc.
ISBN9780387945651

Tillhör följande kategorier

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.