The objective of this study was to explore the geographic distribution and temporal patterns
of violent crime cases in Peninsular Malaysia by using the tools and techniques for spatial …

Mixture modeling is a popular approach to accommodate overdispersion, skewness, and
multimodality features that are very common for health care utilization data. However …

A basic approach to estimation of mixture model parameters is by using expectation
maximization (EM) algorithm for maximizing the likelihood function. However, it is essential …

The aim of this paper is look for the best approach belong Pareto, Generalized Pareto and
mixture-Pareto distributions in data reliability modelling. What is the form of estimators of …

1.1 Background The study of health care utilization answers important health care questions.
An appropriate management of health care utilization assists to prevent serious health …

Ambivalence is a common experience that permeates a broad range of research.
Unfortunately, quantifying ambivalence has proven a daunting task, with researchers limited …

A robust version of residual maximum likelihood estimation for Poisson log‐linear mixed
model is developed, and the method is extended to k‐component Poisson mixture with …

Multi-threshold selection for image segmentation is considered as a critical pre-processing
step for image analysis, pattern recognition and computer vision. This chapter explores the …

In this paper we propose the use of a multivariate null intercept measurement error model,
where the true unobserved value of the covariate follows a mixture of two normal …

La question du rachat préoccupe les assureurs depuis longtemps notamment dans le
contexte des contrats d'épargne en Assurance-Vie, pour lesquels des sommes colossales …