The mapping of spatial patterns of property crime In Malaysia
S Zakaria, NA Rahman - 2016 - dac.umt.edu.my
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 …
property crime cases in Peninsular Malaysia by using spatial analysis. The property crime …
[PDF][PDF] On the performance of information criteria in latent segment models
JRS Fonseca - International Journal of Mathematical and …, 2010 - researchgate.net
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 …
mixture model selection is still an important issue. In fact, the selection of an adequate …
Minimum Hellinger distance estimation for k-component Poisson mixture with random effects
L Xiang, KKW Yau, Y Van Hui, AH Lee - Biometrics, 2008 - academic.oup.com
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 …
describing the heterogeneity for clustered count data arising from several latent …
Identifying and interpreting subgroups in health care utilization data with count mixture regression models
CF Kurz, LA Hatfield - Statistics in medicine, 2019 - Wiley Online Library
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 …
utilization patterns an important part of understanding what drives health care spending …
Advanced survival models for risk-factor analysis in scrapie
F Corbière, F Barillet, O Andréoletti… - Journal of general …, 2007 - microbiologyresearch.org
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 …
accurate epidemiological studies of scrapie outbreaks are difficult to carry out. In this study …
Gaussian mixture model classification: A projection pursuit approach
DG Calò - Computational statistics & data analysis, 2007 - Elsevier
Gaussian mixture models (GMM) are commonly employed in nonparametric supervised
classification. In high-dimensional problems it is often the case that information relevant to …
classification. In high-dimensional problems it is often the case that information relevant to …
Bayesian analysis of finite mixtures of multinomial and negative-multinomial distributions
The Bayesian implementation of finite mixtures of distributions has been an area of
considerable interest within the literature. Computational advances on approximation …
considerable interest within the literature. Computational advances on approximation …
Maximum log likelihood estimation using em algorithm and partition maximum log likelihood estimation for mixtures of generalized lambda distributions
S Su - Journal of Modern Applied Statistical Methods, 2011 - jmasm.com
Two mixture distribution fitting methods based on maximizing the likelihood using
generalized lambda distributions are presented. The fitting algorithms are demonstrated on …
generalized lambda distributions are presented. The fitting algorithms are demonstrated on …
Estimation of nonlinear CUB models via numerical optimization and EM algorithm
M Manisera, P Zuccolotto - Communications in Statistics …, 2017 - Taylor & Francis
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 …
questionnaires, where respondents are asked to express ratings about the objects being …