主 题: Rounded Data Analysis
报告人: 白志东 教授 (东北师范大学)
时 间: 2007-04-06 下午 2:30 - 3:30
地 点: 理科一号楼 1114（数学所活动）
Except categorical data, all continuous data need to be rounded when they are collected and recorded. The rounding errors definitely affect the accuracy of statistical inferences. In old days, it was not seriously treated because statistical problems are only met for small samples. However, with the wide application of advanced computers, statisticians are gradually facing to deal with data of large sample with large dimension. This forces our statisticians to pay serious attention to the rounding errors. It has been found in the literature that the usual t-test will reject the true null hypothesis with probability near to 1 when the sample size is large enough. This shows that we have to search new methodologies to deal with analysis of data when the observations are rounded and the rounding scale is large relatively to the sample size. In a series of my recent research works, we proposed some new methods to deal with the analysis of rounded data.
