Hu Liang-ping, Bao Xiao-lei, Wang Qi
Academy of Military Medical Sciences, Beijing, China.
Zhong Xi Yi Jie He Xue Bao. 2011 Sep;9(9):937-40. doi: 10.3736/jcim20110903.
The repetition principle is important in scientific research, because the observational indexes are random variables, which require a certain amount of samples to reveal their changing regularity. The repetition principle stabilizes the mean and the standard variation, so that statistics of the sample can well represent the parameters of the population. Thus, the statistical inference will be reliable. This article discussed the repetition principle from the perspective of common sense and specialty with examples.
重复原则在科学研究中很重要,因为观测指标是随机变量,这需要一定数量的样本才能揭示其变化规律。重复原则使均值和标准差稳定,从而样本统计量能够很好地代表总体参数。因此,统计推断将是可靠的。本文通过实例从常识和专业角度探讨了重复原则。