Luis A. Afonso
Posts:
4,518
From:
LIsbon (Portugal)
Registered:
2/16/05


Re: KrukalWallis by Fisher´s random shuffling
Posted:
Mar 18, 2013 6:00 PM


KrukalWallis by Bootstrap sampling
Followup The same data is treated as follows as it is required by the Bootstrap sampling: the three 8 sized samples to achieve H are obtained from the source data items by choosing at random no matter the times a generic item is drawn, once, twice, etc., could even be absent. Comparing with the former method I found that the procedure is rather unworthy. In fact the pvalues, the H´ fraction larger than 2.721, is as much as larger than 39% or so. I guess that for no symmetrical sample statistics, Bootstrap should be avoided or we risk not rejecting absurd large values. Luis A. Afonso REM "GRAHB" CLS DEFDBL AZ DIM ri(24) DATA 1,2,3,4 DATA 5.5,5.5 DATA 7,8,9,10,11,12 DATA 14,14,14 DATA 16 DATA 17.5,17.5 DATA 19,20,21,22,23,24 REM FOR i = 1 TO 24: READ ri(i): totr = totr + ri(i): NEXT i REM N = 24: C = 12 / (N * (N + 1)) INPUT " HOW MANY TABLES "; many REM FOR tb = 1 TO many REM LOCATE 10, 50: PRINT USING "########"; many  tb RANDOMIZE TIMER SUM(1) = 0: SUM(2) = 0: SUM(3) = 0 FOR ix = 1 TO 8 gg = INT(24 * RND) + 1 SUM(1) = SUM(1) + ri(gg) NEXT ix FOR iy = 1 TO 8 gg = INT(24 * RND) + 1 SUM(2) = SUM(2) + ri(gg) NEXT iy FOR iz = 1 TO 8 gg = INT(24 * RND) + 1 SUM(3) = SUM(3) + ri(gg) NEXT iz aa = SUM(1) * SUM(1) / 8 bb = SUM(2) * SUM(2) / 8 cc = SUM(3) * SUM(3) / 8 tsum = aa + bb + cc hh = C * tsum  3 * (N + 1) IF hh > 7.271 THEN sgni = sgni + 1 / many NEXT tb LOCATE 10, 50 PRINT USING "sgnif.% = ##.## "; sgni * 100 END

