The objective of the study is to explore the geographic distribution and temporal patterns of
property crime cases in Peninsular Malaysia by using spatial analysis. The property crime …

Nevertheless the widespread application of finite mixture models in segmentation, finite
mixture model selection is still an important issue. In fact, the selection of an adequate …

The k-component Poisson regression mixture with random effects is an effective model in
describing the heterogeneity for clustered count data arising from several latent …

Inpatient care is a large share of total health care spending, making analysis of inpatient
utilization patterns an important part of understanding what drives health care spending …

Because of the confounding effects of long incubation duration and flock management,
accurate epidemiological studies of scrapie outbreaks are difficult to carry out. In this study …

Gaussian mixture models (GMM) are commonly employed in nonparametric supervised
classification. In high-dimensional problems it is often the case that information relevant to …

The Bayesian implementation of finite mixtures of distributions has been an area of
considerable interest within the literature. Computational advances on approximation …

Two mixture distribution fitting methods based on maximizing the likelihood using
generalized lambda distributions are presented. The fitting algorithms are demonstrated on …

The analysis of human perceptions is often carried out by resorting to surveys and
questionnaires, where respondents are asked to express ratings about the objects being …