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OBJECTIVE: To explore the relation laws between traditional significance test and equivalence test,and to probe into the probability to make an equivalence conclusion when P value is larger than α in traditional significance test based on the equivalence boundary and the study results.

结果:得到了各种情形下基于传统显著性检验P值进行等效性判定的标准,以及不同判定标准下作等效性判定的判错率,并以方便查询的表格形式表达出来。

Methods To confirm whether observed power is the function of P value theoretically.

方法理论上推导观察检验效能与P值的函数关系。

A definition for the statistical significance of a signal in an experiment is proposed by establishing a correlation between the observed p-value and the normal distribution integral probability, which is suitable for both counting experiment and continuous test statistics.

基于实验测量的p值和正态函数积分概率之间的对应关系,提出了实验测量中信号统计显著性的定义,它对于“计数”实验和连续检验统计量这两种情形都适用,并给出了计算信号显著性的相应公式。

The empirical distribution of p-values is examined by simulation to see the feasibility of the permutation test.

通过模拟p值分布来评价检验的可行性。

A procedure for computing the exact p-value of the test is proposed.

基于残差平方和,构造适当的检验统计量,给出了计算检验p-值的精确方法及三阶矩x2逼近方法。