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Simultaneous Model Selection and Estimation for Mean and Association Structures with Clustered Binary Data
association clustered binary data generalized estimating equation logistic regression variable selection
2012/9/17
This paper investigates the property of the penalized estimating equations when both the mean and association structures are modelled. To select variables for the mean and association structures seque...
Fault diagnosis and comparing risk for the steel coil manufacturing process using statistical models for binary data
Generalized linear models Generalized additive models ROC curve Bootstrapping
2012/4/22
Advanced statistical models can help industry to design more economical and rational investment plans. Fault detection and diagnosis is an important problem in continuous hot dip galvanizing. Increasi...
A factor mixture analysis model for multivariate binary data
model based clustering latent trait analysis EM algorithm
2010/10/19
The paper proposes a latent variable model for binary data coming from an unobserved heterogeneous population. The heterogeneity is taken into account by replacing the traditional assumption of Gauss...
Prediction of Pregnancy: A Joint Model for Longitudinal and Binary Data
joint model mixed linear model generalized linear model longitudinal data binary data
2009/9/24
We consider the problem of predicting the achievement of successful pregnancy, in a population of women undergoing treatment for infertility, based on longitudinal measurements o...
Analysis of Variance for Binary Data in Unbalanced Designs
Analysis of Variance Binary Data Unbalanced Designs
2009/9/17
Analysis of Variance for Binary Data in Unbalanced Designs。
Binary Data in the Presence of Covariates and Misclassifications: A Bayesian Approach
Binary Data the Presence of Covariates Misclassifications A Bayesian Approach
2009/9/17
Binary Data in the Presence of Covariates and Misclassifications: A Bayesian Approach。
Robust estimation and forecasting for beta-mixed hierarchical models of grouped binary data
grouped binary data distortions hierarchical models beta-binomial beta-logistic robust estimation forecasting
2009/2/23
The paper focuses on robust estimation and forecasting techniques for grouped binary data with
misclassified responses. It is assumed that the data are described by the beta-mixed hierarchical model ...