Some statistical characteristics of special education for children with disabilities in North‐East India

It is estimated that of approximately 150–250 million children with disabilities across the world, a large number have difficulties related to problems in the central nervous system (CNS). This paper considers school dropout rates of children with special educational needs associated with CNS problems from a study of educational institutions in North‐East India. Statistical methods, namely the Kaplan–Meier estimator (Product–Limit estimator) for survival probability and the Nelson–Aalen estimator for cumulative hazard rates, were used to identify potential school continuation or dropout probabilities (survival probabilities), along with cumulative hazard rates (dropout rates) for children with a range of disabilities from different training institutions within the sample area. The research found an increasing likelihood of increased dropout rates in relation to the age of the children within the study sample. This indicates that special education is yet to produce satisfactory results for these children.     

村民委员会选举选民参选率的综合比较

选民参选率的形成,无论是村民委员会选举还是县乡人大代表选举,都涉及许多具体原因,本文以统计方法进行的综合数据比较和分析表明,村民委员会选举的选民参选率,存在较明显的区域差别,但是这样的区域差别,在县乡人大代表选举中同样存在,并不是村民委员会选举所独有的特征。