Drawing on the authors' extensive research in the analysis of categorical longitudinal data,
this book focuses on the formulation of latent Markov models and the practical use of these …

Capture-Recapture Methods for the Social and Medical Sciences Page 1 Page 2 Chapman &
Hall/CRC Interdisciplinary Statistics Series Edited by Dankmar Böhning Peter GM van der …

Background Monitoring the incidence of bacterial meningitis is important to plan and
evaluate preventive polices. The study's aim was to estimate the incidence of bacterial …

Marginal models involve restrictions on the conditional and marginal association structure of
a set of categorical variables. They generalize log-linear models for contingency tables …

The Capture-recapture method is a well-known solution for evaluating the unknown size of a
population. Administrative data represent sources of independent counts of a population …

Statistical models with latent structure have a history going back to the 1950s and have seen
widespread use in the social sciences and, more recently, in computational biology and in …

Identifiability for a very flexible family of latent class models introduced recently is examined.
These models allow for a conditional association between selected pairs of response …

Latent class regression models relate covariates and latent constructs such as psychiatric
disorders. Though full maximum likelihood estimation is available, estimation is often in …

In the context of capture-recapture modeling for estimating the unknown size of a finite
population it is often required a flexible framework for dealing with a behavioural response …

This paper analyses the role of peaceful and violent protest in the democratization process.
We interpret the democratization process as a sequence of phases so as to allow citizens' …