房永飞
作者: 房永飞 (北京理工大学数学与统计学院)
出处: 教育进展 2023 第5期
关键词: 数形结合法;概率统计;边际密度函数;教学方法
摘要: 在《概率论与数理统计》课程的教学中,二维连续型随机变量的相关知识的教学是一个重要的内容,而其中边际密度以及两个随机变量和的密度函数的求解问题是重点和难点问题,本文利用数形结合的思想,用一幅坐标图轻松的解决了这个问题。结果表明数形结合法是一个有效的解决此类问题的方法。
作者: Ke-Hai Yuan1;Yongfei Fang2; (1 University of Notre Dame, Notre Dame, Indiana, USA. 2 Beijing Institute of Technology, Beijing, China.)
出处: The British journal of mathematical and statistical psychology 2023
摘要: Lewis VG, Money J, Epstein R.
作者: Yuan, Ke-Hai1,2;Fang, Yongfei3 (1Univ Notre Dame, Notre Dame, IN 46556 USA.;2Nanjing Univ Posts & Telecommun, Nanjing, Peoples R China.;3Beijing Inst Technol, Beijing, Peoples R China.)
出处: BRITISH JOURNAL OF MATHEMATICAL & STATISTICAL PSYCHOLOGY 2023 Vol.76 No.3 P646-678
关键词: COVARIANCE STRUCTURE-ANALYSIS; PATH-ANALYSIS; ESTIMATORS; PARAMETERS
摘要: Observational data typically contain measurement errors. Covariance-based structural equation modelling (CB- SEM) is capable of modelling measurement ...
作者: 房永飞 (北京理工大学数学与统计学院,北京)
出处: Advances in Education 2023 Vol.13 No.5 P2803-2810
关键词: 数形结合法;概率统计;边际密度函数;教学方法;Combination of Figure and Chart;Probability and Statistics;Marginal Density Function;Teaching Method
摘要: In the teaching of probability theory and mathematical statistics, the teaching of relevant knowledge of two-dimensional continuous random variables i ...
作者: Yuan, Kehai12;Fang, Yongfei3; (1University of Notre Dame, Notre Dame, IN, United States;2Nanjing University of Posts and Telecommunications, Nanjing, China;3Beijing Institute of Technology, Beijing, China)
出处: British Journal of Mathematical and Statistical Psychology 2022
摘要: Observational data typically contain measurement errors. Covariance-based structural equation modelling (CB-SEM) is capable of modelling measurement e ...