Conditional Log-Linear Models for Analyzing Categorical Panel Data

DOI10.2307/2290867zbMath0801.62088OpenAlexW4254444779MaRDI QIDQ4305736

Shelby J. Haberman, Zvi Gilula

Publication date: 30 November 1994

Full work available at URL: https://doi.org/10.2307/2290867

zbMATH Keywords

entropymaximum likelihoodpanel dataMarkov modelsrandom samplingindependence modelsdemographic datapredictive powercategorical responseslarge-sample approximationslogarithmic penalty functionconditional log-linear modelsbias of estimatesconditional probabilities of responsedistance modelsmeasures of quality of predictionminimum expected penalty

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Inference from stochastic processes (62M99)

Related Items

Analyzing incomplete discrete longitudinal clinical trial data ⋮ Bayesian test of homogeneity for Markov chains ⋮ Collapsibility of contingency tables based on conditional models ⋮ Log-linear modeling using conditional log-linear structures ⋮ Automated item generation with recurrent neural networks

This page was built for publication: Conditional Log-Linear Models for Analyzing Categorical Panel Data