摘要
非正态总体参数的假设检验是数理统计中的一个难点问题,其处理方法灵活多变,技巧性强,教师难于讲授,学生难于掌握.系统研究了在处理非正态总体参数假设检验时检验统计量的构造问题,给出几种常用的构造方法.通过实例展示了使用这些方法构造检验统计量的思路和技巧,使学生便于理解和掌握.所给的处理方法和技巧具有一定的方法论意义,在数理统计研究性教学中值得推广使用.
Hypothesis testing of parameters for non-normal population is a difficult problem in mathematical statistics.Its processing method is flexible and skillful,which is difficult for teachers to teach and students to master.The construction of test statistics was systematically studied when dealing with the hypothesis test of non-normal population parameters,and several common construction methods was given.Through examples,the ideas and skills of using these methods to construct test statistics are shown,which is easy for students to understand and master.The processing methods and techniques have certain methodological significance and are worth popularizing in the research teaching of mathematical statistics.
作者
姜培华
JIANG Peihua(School of Mathematics-Physics and Finance,Anhui Polytechnic University,Wuhu 241000,China)
出处
《高师理科学刊》
2023年第3期77-83,共7页
Journal of Science of Teachers'College and University
基金
教育部产学研合作协同育人项目(202102218020)
《数理统计》省级示范课项目(2020SJJXSFK0310)
《概率论与数理统计》省级线上线下混合式课程项目(2021xsxxkc039)
安徽工程大学重点教学研究项目(2022jyxm31)
《数理统计》校级课程思政优质课项目(2021szyzk52)。
关键词
研究性教学
非正态总体
假设检验
检验统计量
拒绝域
research teaching
non-normal population
hypothesis testing
test statistics
rejection region