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Behrens–Fisher problem
In statistics, the Behrens–Fisher problem, named after Walter Ulrich Behrens and Ronald Fisher, is the problem of interval estimation and hypothesis testing concerning the difference between the means of two normally distributed populations when the variances of the two populations are not assumed to be equal, based on two independent samples.
==Specification==
One difficulty with discussing the Behrens–Fisher problem and proposed solutions, is that there are many different interpretations of what is meant by "the Behrens–Fisher problem". These differences involve not only what is counted as being a relevant solution, but even the basic statement of the context being considered.
抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』
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