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On Two Post-Survey Virtual Randomness with Implications

作者: 发布时间:2022-04-13 点击数:
主讲人:段小刚
主讲人简介:

段小刚,北京师范大学统计学院副教授,2004年本科毕业于吉林大学数学学院,2009年于北京大学获得统计学博士学位,2011年于中国科学院应用数学研究所博士后流动站出站,同年加入北京师范大学。曾主持国家自然科学基金面上项目1项,发表论文十余篇,研究方向为抽样调查理论、应用统计。

主持人:王中雷
讲座简介:

For Neyman's design-based inference, we introduce and compare ideas and implications of two virtual random mechnisms after actual sampling practice. One is named "virtual permutation", due to professor Knottnerus, with most details presented in the monograpch "Sample Survey Theory: Some Pythagorean Perspectives". The other is proposed recently by the author, named "imaginary census", for which a key element is the imaginary census matrix, recording the exact sampling trajectory of each draw without replacement, until all population units were pretended to be sampled out. Both provide interesting supplement to Neyman's conventional framework. In particular, both provides insight into relationship of simple random sampling with and without replacement.

时间:2022-04-13(Wednesday)16:40-18:00
地点:线上腾讯会议
讲座语言:中文
主办单位:太阳成tyc7111cc、王亚南经济研究院
承办单位:太阳成tyc7111cc、王亚南经济研究院
期数:高级计量经济学与统计学系列讲座2022年春季学期第二讲(总139讲)
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