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Application of principal component analysis on human development indicators: temporal approach from 1999 to 2010

机译:主成分分析在人类发展指标上的应用:1999年至2010年的时间方法

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摘要

In this study, we performed a weighted principal component analysis on human development indicators to measure and analyze the progress of well-being throughout the world from 1999 to 2010. The main principal component (MPC) was employed to quantify the temporal changes of the human development of several selected countries by the proposed Z-test. The trends of the human development in some countries with high human development, Sub-Saharan African countries, Brazil, Russia, India, China (BRIC), the USA, and Qatar were discussed in terms of the impact of public health and economic development. We also studied the association of the MPC obtained from our study and the human development index reported by the United Nations Development Program using the Spearman's rank correlation coefficient.
机译:在这项研究中,我们对人类发展指标进行了加权主成分分析,以衡量和分析1999年至2010年全球福利的进步。主要成分(MPC)用于量化人类的时间变化通过拟议的Z检验来发展几个选定的国家。从公共卫生和经济发展的影响出发,讨论了人类发展水平较高的一些国家,撒哈拉以南非洲国家,巴西,俄罗斯,印度,中国(金砖四国),美国和卡塔尔的人类发展趋势。我们还使用斯皮尔曼等级相关系数研究了从我们的研究中获得的MPC与联合国开发计划署报告的人类发展指数之间的关联。

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