Understanding the Socioeconomic Status of International Immigrants in Chile Through Hierarchical Cluster Analysis: a Population-Based Study

2013 ◽  
Vol 53 (2) ◽  
pp. 303-320 ◽  
Author(s):  
Baltica Cabieses ◽  
Helena Tunstall ◽  
Kate Pickett
Keyword(s):  
Socioeconomic Status ◽  
Cluster Analysis ◽  
Hierarchical Cluster Analysis ◽  
Hierarchical Cluster ◽  
Population Based ◽  
Population Based Study

scholarly journals The Educational and Social Profile of the Indigenous People of Ecuador: A Multidimensional Analysis

2017 ◽  
Vol 9 (1) ◽  
pp. 137 ◽  
Author(s):  
José Manuel Castellano ◽  
Efstathios Stefos ◽  
Lisa Gaye Williams Goodrich
Keyword(s):  
Cluster Analysis ◽  
Statistical Analysis ◽  
Indigenous People ◽  
Hierarchical Cluster Analysis ◽  
Educational Level ◽  
Descriptive Analysis ◽  
Hierarchical Cluster ◽  
Population Based ◽  
Multidimensional Analysis ◽  
The Social

The objective of the study is to examine the educational level and the social profile of the indigenous people of Ecuador by means of a descriptive and multidimensional statistical analysis of this sector of the Ecuadorian population, based on data from the National Survey of Employment, Unemployment and Underemployment from 2015. The descriptive analysis shows the frequency and percentages of the variables used in the investigation, while the multidimensional statistical analysis is used in order to show the principal and most important criteria of differentiation and classification among the groups of people investigated. These methods involve a factorial analysis of multiple correspondences which demostrates the criteria of differentiation and a hierarchical cluster analysis to define groups of people according to their common traits.

Extraordinary circumstances: Covid-19 – Italian Serie A scenario

2021 ◽  
pp. 175433712110192
Author(s):  
Milan Radojicic ◽  
Aleksandar Djokovic ◽  
Nikola Cvetkovic
Keyword(s):  
Cluster Analysis ◽  
Hierarchical Cluster Analysis ◽  
Hierarchical Cluster ◽  
Round Robin ◽  
The Past ◽  
Novel Approach ◽  
Round Robin Tournaments

Unpredictable and uncontrollable situations have happened throughout history. Inevitably, such situations have an impact on various spheres of life. The coronavirus disease 2019 has affected many of them, including sports. The ban on social gatherings has caused the cancellation of many sports competitions. This paper proposes a methodology based on hierarchical cluster analysis (HCA) that can be applied when a need occurs to end an interrupted tournament and the conditions for playing the remaining matches are far from ideal. The proposed methodology is based on how to conclude the season for Serie A, a top-division football league in Italy. The analysis showed that it is reasonable to play 14 instead of the 124 remaining matches of the 2019–2020 season to conclude the championship. The proposed methodology was tested on the past 10 seasons of the Serie A, and its effectiveness was confirmed. This novel approach can be used in any other sport where round-robin tournaments exist.

Socioeconomic Status and Survival in Nasopharyngeal Carcinoma: A Population‐Based Study

2021 ◽  
Author(s):  
Sabrina Brody‐Camp ◽  
Edward D. McCoul ◽  
John J. Lefante ◽  
Rizwan Aslam
Keyword(s):  
Socioeconomic Status ◽  
Nasopharyngeal Carcinoma ◽  
Population Based ◽  
Population Based Study

scholarly journals Association of depressive symptoms and socioeconomic status in determination of blood pressure levels and hypertension: The CONSTANCES population based study

2021 ◽  
Vol 279 ◽  
pp. 282-291
Author(s):  
Alexandre Vallée ◽  
Emmanuel Wiernik ◽  
Sofiane Kab ◽  
Cédric Lemogne ◽  
Marcel Goldberg ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Socioeconomic Status ◽  
Depressive Symptoms ◽  
Population Based ◽  
Population Based Study

scholarly journals Detection of drought events in Greece using daily precipitation

2010 ◽  
Vol 41 (2) ◽  
pp. 126-133 ◽  
Author(s):  
N. Kalamaras ◽  
H. Michalopoulou ◽  
H. R. Byun
Keyword(s):  
Cluster Analysis ◽  
Hierarchical Cluster Analysis ◽  
Daily Precipitation ◽  
Hierarchical Cluster ◽  
Seasonal Distribution ◽  
Drought Severity ◽  
Severe Drought ◽  
Analysis Method ◽  
Cluster Analysis Method ◽  
Insight Into

In this study a method proposed by Byun & Wilhite, which estimates drought severity and duration using daily precipitation values, is applied to data from stations at different locations in Greece. Subsequently, a series of indices is calculated to facilitate the detection of drought events at these sites. The results provide insight into the trend of drought severity in the region. In addition, the seasonal distribution of days with moderate and severe drought is examined. Finally, the Hierarchical Cluster Analysis method is used to identify sites with similar drought features.

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