模拟在相位智能变量应力下脱落的时间固定队列设置.
Aniket Biswas1, Subrata Chakraborty2, Anupama Nandi2
1Department of Statistics, St. Xavier's University, Kolkata, India.
Journal of applied statistics
|February 14, 2025
概括
学生的退缩受课程内容和财务等各种因素的影响,导致学术压力因课程阶段而异. 这项研究模型使用库马拉斯瓦米分布来理解退学行为的累积压力.
科学领域:
- 教育研究教育研究
- 统计建模 统计建模
- 学术计划分析学术计划分析
背景情况:
- 学生学是一个复杂的问题,受到多种因素的影响.
- 这些因素,包括课程内容,兴趣变化和财务问题,在学术课程阶段之间有不同的相互作用.
- 了解学业压力的累积影响对于留住学生至关重要.
研究的目的:
- 制定和分析学生退学累积压力模型.
- 调查学术压力如何在学术课程的不同阶段积累和变化.
- 应用库马拉斯瓦米分布来建模每个阶段的磨损时间.
主要方法:
- 使用基于危险率的方法来建模累积的压力.
- 对于每个学术阶段的消耗时间,假设库马拉斯瓦米分布.
- 用频率主义方法估计模型参数,并通过模拟实验验证.
主要成果:
- 开发的累积压力模型有效地捕捉了退学动态.
- 模拟实验表明参数估计器的性能令人满意.
- 该模型提供了关于压力如何积累和影响学生磨损的见解.
结论:
- 该研究使用累积压力框架成功模拟了学生学情况.
- 库马拉斯瓦米分布是模拟学术阶段的消耗时间的合适选择.
- 这些发现提供了一种定量方法来理解和潜在地减轻学生退学.
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