Multinomial models with unknown index (“sample size”) arise in many practical settings. In
practice, Bayesian analysis of such models has proved difficult because the dimension of …

Latent variable models are commonly used in medical statistics, although often not referred
to under this name. In this paper we describe classical latent variable models such as factor …

Combining theoretical, methodological, and practical aspects, Latent Class Analysis of
Survey Error successfully guides readers through the accurate interpretation of survey …

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 …

Fisher's noncentral hypergeometric distribution (FNCH) describes a biased urn experiment
with independent draws of differently coloured balls where each colour is associated with a …

We illustrate a class of multidimensional item response theory models in which the items are
allowed to have different discriminating power and the latent traits are represented through a …

The quantity and quality of administrative information available to National Statistical
Institutes have been constantly increasing over the past several years. However, different …

We consider the estimation of the size of a closed population, often of interest for wild animal
populations, using a capture–recapture study. The estimate of the total population size can …

Estimation in R. We make use of the CAT-procedure in R (Meng and Rubin (1991); Schafer
[(1997a), Chapters 7 and 8],(1997b)). The CAT-procedure is a routine for the analysis of …

We introduce a new family of latent class models for the analysis of capture–recapture data
where continuous covariates are available. The present approach exploits recent advances …