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Advances in GLIM and Statistical Modelling

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Cover of 'Advances in GLIM and Statistical Modelling'

Table of Contents

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    Book Overview
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    Chapter 1 The new facilities of GLIM4
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    Chapter 2 Model fitting applications in GLIM4
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    Chapter 3 Medical applications in GLIM4
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    Chapter 4 Residuals and Influential Points in Mean Structures Estimated with Pseudo Maximum Likelihood Methods
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    Chapter 5 Fitting the Continuation Ratio Model using GLIM4
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    Chapter 6 A New Approach for the Analysis of Multi-Episode Duration Data
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    Chapter 7 Approaches to Estimation with Errors in Predictors
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    Chapter 8 The Frontit Model: A Stochastic Frontier for Dichotomic Random Variables
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    Chapter 9 Investigation of an Ordered Logistic Model for Consumer Debt
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    Chapter 10 On Link Selection in Generalized Linear Models
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    Chapter 11 Estimation of Heterogeneity — A GLM-Approach
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    Chapter 12 Generalized Linear Models with P-splines
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    Chapter 13 Modelling Excess Mortality of Diabetics: Generalised Linear Models and Dynamic Estimation
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    Chapter 14 Smoothing in dynamic generalized linear models by Gibbs sampling
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    Chapter 15 Bias reduction, the Jeffreys prior and GLIM
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    Chapter 16 Approximate Predictive Integrals for Dynamic Generalized Linear Models
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    Chapter 17 Symmetric Interaction Models to Study Innovation Processes in the Software Industry
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    Chapter 18 Ordinal Time Series Models with Application to Forest Damage Data
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    Chapter 19 Choosing Between Non-nested Models: a Simulation Approach
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    Chapter 20 A class of models for the simultaneous analysis of square contingency tables
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    Chapter 21 Estimation of the parameters of the bilinear association model using the Gibbs sampler
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    Chapter 22 Marginal modelling of Correlated Ordinal Data using an n -way Plackett Distribution
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    Chapter 23 The Evaluation of Bank Accounts using Optimized Moving Local Regression
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    Chapter 24 Common Factor Model Stochastic Model, Data Analysis Technique or What?
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    Chapter 25 The Design of Experiments to Discriminate Between Two Rival Generalized Linear Models
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    Chapter 26 A Changepoint Model for Infant Survival in the British Births Survey
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    Chapter 27 The Construction of Life and other Actuarial Graduated Tables using GLIM
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    Chapter 28 Age-Period-Cohort Models: A Comparison of Methods
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    Chapter 29 Estimation of a First Order Autoregressive Process with Poisson Marginals for Count Data
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    Chapter 30 Saddlepoint Approximations for Generalized Linear Models: A Gentle Introduction
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    Chapter 31 Robust Poisson Regression
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    Chapter 32 Parametric and Seminonparametric Analysis of Nonlinear Time Series
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    Chapter 33 Nonparametric Approaches to Generalized Linear Models
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Title
Advances in GLIM and Statistical Modelling
Published by
Springer New York, December 2012
DOI 10.1007/978-1-4612-2952-0
ISBNs
978-0-387-97873-4, 978-1-4612-2952-0
Editors

Fahrmeir, Ludwig, Francis, Brian, Gilchrist, Robert, Tutz, Gerhard

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X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 25%
Student > Ph. D. Student 2 17%
Lecturer 1 8%
Researcher 1 8%
Professor > Associate Professor 1 8%
Other 1 8%
Unknown 3 25%
Readers by discipline Count As %
Mathematics 4 33%
Engineering 2 17%
Environmental Science 1 8%
Medicine and Dentistry 1 8%
Social Sciences 1 8%
Other 0 0%
Unknown 3 25%