5 results on '"Latent cluster"'
Search Results
2. A Multivariate Mixture Regression Model for Constrained Responses
- Author
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Ascari, R, Brisco, A, Migliorati, S, Ongaro, A, Brisco, AMD, Ascari, R, Brisco, A, Migliorati, S, Ongaro, A, and Brisco, AMD
- Abstract
Compositional data are vectors typically representing proportions of a whole, that is, those whose elements are strictly positive and subject to a unit-sum constraint. The increasing number of fields where this type of data arises makes the development of proper statistical tools an important issue. From a regression perspective, whenever the multivariate response is a compositional vector, a proper model that accounts for the unit-sum constraint is the well-established Dirichlet regression model. However, there are significant drawbacks mainly due to the limited flexibility of the Dirichlet distribution. The aim of this contribution is to introduce a new multivariate regression model for constrained responses, that is based on the extended flexible Dirichlet distribution (which is a structured mixture with Dirichlet distributed components). The new model is obtained by adopting a novel reparameterization which allows for, among other things, the presence of suitably designed cluster-specific regression patterns. It is shown to provide considerably greater flexibility and better performance than the standard Dirichlet regression model. In particular, from theoretical analysis, intensive simulation studies in many challenging scenarios, as well as from a real data application, it emerges that the new regression model can handle several issues affecting the Dirichlet regression, such as the presence of outliers, latent groups, multi-modality, and positive correlations.
- Published
- 2024
3. Cluster Around Latent Variable for Vulnerability Towards Natural Hazards, Non-Natural Hazards, Social Hazards in West Papua
- Author
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Rezzy Eko Caraka, Youngjo Lee, Rung Ching Chen, Toni Toharudin, Prana Ugiana Gio, Robert Kurniawan, and Bens Pardamean
- Subjects
Latent cluster ,millennial ,natural hazard ,non-natural hazard ,social hazard ,vulnerability ,Electrical engineering. Electronics. Nuclear engineering ,TK1-9971 - Abstract
The diagnosis of a hazard can be classified into three key domains, particularly regarding the natural hazards, non-natural hazards and social hazards. The disasters which have actually happened in West Papua require considerable attention and consideration of the Indonesian Government, despite since they have handled as much as they can to provide solutions and make people feel secure and pleasant. The purpose of this study is to calculate the location-based social vulnerability in West Papua involves the components of Information, Technology, and Communication, Food Access, Natural Disaster, Social Protection Statement, Access to Financial Services, Description of the source of household income, Number of event floods, number of earthquake disasters, COVID-19 death cases, and Number of incidents of protest which are obtained from the National Socio-Economic Survey (SUSENAS) official statistics with the main focus of research on the millennial generation. After employ clustering of variables around latent variables with connectivity value of 3.9400794, Dunn 0.9373, and Silhouette 0.6333. Each factor provide a sign indicating a positive or negative effect on social vulnerability and finally a location cluster will be formed based on the index obtained.
- Published
- 2021
- Full Text
- View/download PDF
4. Cluster Around Latent Variable for Vulnerability Towards Natural Hazards, Non-Natural Hazards, Social Hazards in West Papua
- Author
-
Youngjo Lee, Robert Kurniawan, Rung-Ching Chen, Bens Pardamean, Prana Ugiana Gio, Toni Toharudin, and Rezzy Eko Caraka
- Subjects
010504 meteorology & atmospheric sciences ,General Computer Science ,non-natural hazard ,vulnerability ,0211 other engineering and technologies ,Vulnerability ,02 engineering and technology ,Latent variable ,natural hazard ,01 natural sciences ,social hazard ,Latent cluster ,Natural hazard ,General Materials Science ,Natural disaster ,0105 earth and related environmental sciences ,021110 strategic, defence & security studies ,Actuarial science ,General Engineering ,Hazard ,Social protection ,Household income ,millennial ,lcsh:Electrical engineering. Electronics. Nuclear engineering ,lcsh:TK1-9971 ,Social vulnerability - Abstract
The diagnosis of a hazard can be classified into three key domains, particularly regarding the natural hazards, non-natural hazards and social hazards. The disasters which have actually happened in West Papua require considerable attention and consideration of the Indonesian Government, despite since they have handled as much as they can to provide solutions and make people feel secure and pleasant. The purpose of this study is to calculate the location-based social vulnerability in West Papua involves the components of Information, Technology, and Communication, Food Access, Natural Disaster, Social Protection Statement, Access to Financial Services, Description of the source of household income, Number of event floods, number of earthquake disasters, COVID-19 death cases, and Number of incidents of protest which are obtained from the National Socio-Economic Survey (SUSENAS) official statistics with the main focus of research on the millennial generation. After employ clustering of variables around latent variables with connectivity value of 3.9400794, Dunn 0.9373, and Silhouette 0.6333. Each factor provide a sign indicating a positive or negative effect on social vulnerability and finally a location cluster will be formed based on the index obtained.
- Published
- 2021
- Full Text
- View/download PDF
5. Identifying Victims of Workplace Bullying by Integrating Traditional Estimation Approaches Into a Latent Class Cluster Model
- Author
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Guy Notelaers, Jose M. Leon-Perez, Francisco J. Medina, Lourdes Munduate, and Alicia Arenas
- Subjects
Workplace bullying ,Typology ,Adult ,Male ,Conflict ,Poison control ,Stress ,Occupational safety and health ,External validity ,Young Adult ,Latent cluster ,Cluster Analysis ,Humans ,Interpersonal Relations ,Applied Psychology ,Crime Victims ,Responsible Organization ,Human factors and ergonomics ,Bullying ,Mobbing ,Middle Aged ,Latent class model ,Clinical Psychology ,Workplace Violence ,Female ,Psychology ,Social psychology ,Employee health - Abstract
WOS:000333323600001 (Nº de Acesso Web of Science) Research findings underline the negative effects of exposure to bullying behaviors and document the detrimental health effects of being a victim of workplace bullying. While no one disputes its negative consequences, debate continues about the magnitude of this phenomenon since very different prevalence rates of workplace bullying have been reported. Methodological aspects may explain these findings. Our contribution to this debate integrates behavioral and self-labeling estimation methods of workplace bullying into a measurement model that constitutes a bullying typology. Results in the present sample (n = 1,619) revealed that six different groups can be distinguished according to the nature and intensity of reported bullying behaviors. These clusters portray different paths for the workplace bullying process, where negative work-related and person-degrading behaviors are strongly intertwined. The analysis of the external validity showed that integrating previous estimation methods into a single measurement latent class model provides a reliable estimation method of workplace bullying, which may overcome previous flaws.
- Published
- 2014
- Full Text
- View/download PDF
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