Estimation of a population size by means of capture‐recapture techniques is an important
problem occurring in many areas of life and social sciences. We consider the frequencies of …

The innovations of an INAR (1) process (in teger-valued a uto r egressive) are usually
assumed to be unobservable. There are, however, situations in practice, where also the …

Aim: The study aimed to analyze and determine the factors associated with dental caries
experience contains many zeros by zero inflated models. Design: A cross sectional design …

Multiple-list capture–recapture data can be used to estimate the size of a population. In this
manuscript two problems are studied and solved using a common solution. The first problem …

In this paper we analyse parameter uncertainty in the extreme event frequencyseverity
model. Three methods are compared: classical asymptotic statistics, bootstrapping and a …

Bu çalışmada, koçların üreme davranışı özelliklerinden elde edilen sayıma dayalı
tekrarlanmalı ölçümlere, genelleştirilmiş doğrusal modelleri esas alan Poisson ve negatif …

With the aim of providing better estimation for count data with overdispersion and/or excess
zeros, we develop a novel estimation method—optimal weighting based on cross-validation …

Population size estimation with discrete or nonparametric mixture models is considered, and
reliable ways of construction of the nonparametric mixture model estimator are reviewed and …

Dispersion indexes with respect to the Poisson and binomial distributions are widely used to
assess the conformity of the underlying distribution from an observed sample of the count …

Count data reported over one period of time often show overdispersion and infinite
divisibility compared to the Poisson distribution. We propose a methodology which can be …