根据Ｂａｙｅｓ方法的基本思想，研究多组距离（长度）测试Ｂａｙｅｓ估计，推导出均值、方差未知时的距离（长度）、密集度检验所用公式。举例说明Ｂａｙｅｓ假设检验有关问题以及各种决策的期望损失，距离（长度）测量采用经验Ｂａｙｅｓ方法比较古典方法估值准确度高，置信区间小，将明显减少测量次数，缩短测试周期，提高测试质量。 According to the basic idea of ​​Bayes method, Bayesian estimation of multiple sets of distance (length) test is studied, and the mean value, the distance (length) when the variance is unknown, and the formula used to test the density are derived. An example is given to illustrate Bayes hypothesis testing and expected loss of various decisions. Distance (length) measurement is based on the empirical Bayes method. Compared with the classical method, the accuracy of estimation is high and the confidence interval is small, which will obviously reduce the measurement times, shorten the test cycle and improve the test quality .