Some Tests of Significance, Treated by the Theory of Probability 论文
1935Mathematical Proceedings of the Cambridge Philosophical Society引用 435
Statistics Education and MethodologiesBayesian Modeling and Causal InferenceProbability and Statistical Research
摘要
It often happens that when two sets of data obtained by observation give slightly different estimates of the true value we wish to know whether the difference is significant. The usual procedure is to say that it is significant if it exceeds a certain rather arbitrary multiple of the standard error; but this is not very satisfactory, and it seems worth while to see whether any precise criterion can be obtained by a thorough application of the theory of probability.