Modelling Longitudinal and Spatially Correlated Data (eBook, PDF)

Redaktion: Gregoire, Timothy G.; Wolfinger, Russell D.; Warren, William G.; Russek-Cohen, Estelle; Diggle, Peter; Brillinger, David R.

• Format: PDF

Produktbeschreibung

This refereed volume includes papers presented at a conference on modeling longitudinal and spatially correlated data. Many of the best researchers in the world presented papers in an area with important applications to biostatistics and the environmental sciences.

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Produktdetails

• Verlag: Springer US
• Seitenzahl: 402
• Erscheinungstermin: 6. Dezember 2012
• Englisch
• ISBN-13: 9781461206996
• Artikelnr.: 44052213

Inhaltsangabe

Generalized Linear Models.- Linear Models, Vector Spaces, and Residual Likelihood.- An Assessment of Approximate Maximum Likelihood Estimators in Generalized Linear Models.- Scaled Link Functions for Heterogeneous Ordinal Response Data.- Longitudinal Data Analysis.- Software Design for Longitudinal Data Analysis.- Asymptotic Properties of Nonlinear Mized-Effects Models.- Structured Antedependence Models for Longitudinal Data.- Effect of Confounding and Other Misspecification in Models for Longitudinal Data.- The Linear Mixed Model. A Critical Investigation in the Context of Longitudinal Data.- Modelling the Order of Disability Events in Activities of Daily Living Using Discrete Longitudinal Data.- Estimation of Subject Means in Fixed and Mixed Models with Application to Longitudinal Data.- Modeling Toxicological Multivariate Mortality Data: a Bayesian Perspective.- Comparison of Methods for General Nonlinear Mixed-Effects Models.- Repeated Measures Analysis Using Mixed Models: Some Simulation Results.- Spatial Data Analysis.- Object Identification Using Markov Random Field Segmentation Models at Multiple Resolutions of a Rectangular Lattice.- Comparison of Some Sampling Designs for Spatially Clustered Populations.- Using Geostatistical Techniques to Map the Distribution of Tree Species from Ground Inventory Data.- Global Analysis of Ozone Data Based on Spherical Splines.- Bounded Influence Estimation in a Spatial Linear Mixed Model.- Spatial Correlation Models as Applied to Evolutionary Biology.- Rainfall Modelling Using a Latent Guassian Variable.- Estimation of Individual Exposure Following a Chemical Spill in Superior, Wisconsin.- Flexible Response Surface Methods via Spatial Regression and EBLUPS.- Robust Semivariogram Estimation in the Presence of InfluentialSpatial Data Values.- Modelling Spatio-Temporal Processes.- Elephant Seal Movements: Dive Types and Their Sequences.- Models for Continuous Stationary Space-time Processes.- A Comparison of Two Spatio-temporal Semivariograms with Use in Agriculture.- Structuring Correlation Within Hierarchical Spatio-temporal Models for Disease Rates.- Modelling Messy Data.- Generalized Linear Mixed Measurement Error Models:.- Calculating the Appropriate Information Matrix for Log-linear Models When Data Are Missing at Random.- Nonparametric Regression in the Presence of Correlated Errors.- Exploratory Modelling of Multiple Non-Stationary Time Series: Latent Process Structure and Decompositions.- Modelling Correlations Between Diagnostic Tests in Efficacy Studies With an Imperfect Reference Test.- Special Topics and Future Directions.- Combining Standard Block Analyses with Spatial Analyses Under a Random Effects Model.- Spatial and Longitudinal Data Analysis: Two Histories with a Common Future?.