In article <[EMAIL PROTECTED]>, Robert Dodier <[EMAIL PROTECTED]> wrote: >[EMAIL PROTECTED] (Warren Sarle) wrote:
>> While exclusive reliance on p-values is often foolish, so is >> the idea of banning them. [...] >Well then, when should we use p-values, and when is it foolish to do so? >If exclusive reliance is foolish, what form of partial reliance is wise? If one can believe the point null hypothesis, or know that the alternatives for which one should accept are close enough that it makes little difference, then one can compare the p-value with the evaluated consequence of falsely taking the "acceptance" action when the state of nature is such that one should not. It is also the case that this can be used to obtain a procedure which is robust against some misspecifications of the problem, and the risk for improper acceptance can only be approximated. The expected value of the p-value can also be used in deciding posterior expected risk, and thus in deciding whether experiments should be informed. -- This address is for information only. I do not claim that these views are those of the Statistics Department or of Purdue University. Herman Rubin, Dept. of Statistics, Purdue Univ., West Lafayette IN47907-1399 [EMAIL PROTECTED] Phone: (765)494-6054 FAX: (765)494-0558 . . ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at: . http://jse.stat.ncsu.edu/ . =================================================================
