Search All of the Math Forum:
Views expressed in these public forums are not endorsed by
Drexel University or The Math Forum.
|
|
Luis A. Afonso
Posts:
4,277
From:
LIsbon (Portugal)
Registered:
2/16/05
|
|
Kolmogorov-Smirnov-Lilliefors Test statistics
Posted:
Sep 16, 2012 5:57 PM
|
|
Kolmogorov-Smirnov-Lilliefors Test statistics
The maxima and secondary maxima discrepancy from Normal data: Critical Values.
______________________________________________
Lilliefors Test Table (1million samples/size) The First and Second maximum differences between the Normal Distribution values and sample size n cumulative fractiles. M.A. Molin & Abdil values.
citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.64.5753&am
Fractiles: ______0.80____0.85____0.90___ 0.95____0.99__
__n=5 _____0.2163__0.2246__0.2351__0.2498__0.2767__2nd _____0.2895__0.3028__0.3190__0.3431__0.3964__1st _____0.2893__0.3027__0.3188__0.3427__0.3959__M.A.
__n=10 _____0.1761__0.1843__0.1950__0.2123__0.2475__ _____0.2171__0.2273__0.2410__0.2622__0.3035__ _____0.2171__0.2273__0.2410__0.2616__0.3037__
__n=15 _____0.1534__0.1609__0.1709__0.1866__0.2191__ _____0.1845__0.1899__0.2014__0.2192__0.2542__ _____0.1811__0.1899__0.2016__0.2196__0.2245__
__n=20 _____0.1379__0.1448__0.1538__0.1682__0.1975__ _____0.1588__0.1664__0.1763__0.1918__0.2236__ _____0.1589__0.1666__0.1764__0.1920__0.2226__
__n=25 _____0.1263__0.1327__0.1411__0.1543__0.1815__ _____0.1430__0.1498__0.1589__0.1731__0.2015__ _____0.1429__0.1498__0.1589__0.1726__0.2010__
__n=30 _____0.1174__0.1233__0.1311__0.1434__0.1686__ _____0.1313__0.1376__0.1458__0.1588__0.1849__ _____0.1315__0.1378__0.1460__0.1590__0.1848__
__n=35 _____0.1101__0.1157__0.1230__0.1346__0.1582__ _____0.1220__0.1279__0.1356__0.1475__0.1719__ _____0.1220__0.1278__0.1356__0.1478__0.1720__
__n=40 _____0.1041__0.1094__0.1163__0.1272__0.1495__ _____0.1144__0.1200__0.1272__0.1384__0.1614__ _____0.1147__0.1204__0.1275__0.1386__0.1616__
__n=45 _____0.0991__0.1041__0.1107__0.1211__0.1422__ _____0.1082__0.1135__0.1203__0.1310__0.1527__ _____0.1083__0.1134__0.1204__0.1309__0.1525__
__n=50 _____0.0946__0.0994__0.1057__0.1155__0.1355__ _____0.1028__0.1078__0.1143__0.1244__0.1448__ _____0.1030__0.1079__0.1142__0.1246__0.1457__
Explanation
The third lines (M.A.) show the Morin/Abdil values, the remaining two, mine: the first records the sub maxima, the second the KS-Lilliefors maxima. It can be seen easily that there is an excellent agreement between lines which demonstrate that my simulations got correct values. It should be stresses that I simulate 1 million samples by sample size and them 100 000. It?s true that the fourth decimal places are absolutely abusive in view the forecasted random errors. We intend to explore a little how informative (if so) is this *second* maximum in view the conclusions to draw from tests. The program ?New? listing follows.
Luis A. Afonso
REM "NEW" CLS PRINT : PRINT COLOR 12 PRINT " 1st maximum and 2nd KOLMOGOROV - SMIRNOV -"; PRINT "LILLIEFORS test statistics " INPUT " n (SAMPLE SIZE) = "; n INPUT " HOW MANY SAMPLES = "; ali pi = 4 * ATN(1): c = 1 / SQR(2 * pi) DIM x(n), xx(n), F(n), y(n) DIM max(9001), max2(9001) DEF fng (z, j) = -.5 * z ^ 2 * (2 * j + 1) / ((j + 1) * (2 * j + 3)) F(0) = 0 FOR ji = 0 TO n: F(ji) = ji / n: NEXT ji REM REM REM k = SAMPLE FOR k = 1 TO ali: RANDOMIZE TIMER mmajor = -1E-20: second = mmajor LOCATE 7, 50: PRINT USING "##########"; ali - k md = 0: sum2 = 0 REM FOR i = 1 TO n a = SQR(-2 * LOG(RND)) x(i) = a * COS(2 * pi * RND) md = md + x(i) / n sum2 = sum2 + x(i) * x(i) NEXT i sqd = sum2 - n * (md ^ 2): sd = SQR(sqd / (n - 1)) FOR ii = 1 TO n: x(ii) = (x(ii) - md) / sd: NEXT ii REM ORDERING FOR ii = 1 TO n: u = x(ii): W = 1 FOR jj = 1 TO n IF x(jj) < u THEN W = W + 1 NEXT jj: xx(W) = u NEXT ii REM "******************" REM PHI CALCULATION FOR tt = 1 TO n: z = xx(tt) IF z >= 0 THEN kw = 0 IF z < 0 THEN kw = 1 zu = ABS(z): s = c * zu: antes = c * zu FOR j = 0 TO 100000 xx = antes * fng(zu, j) s = s + xx antes = xx IF ABS(xx) < .00004 THEN GOTO 20 NEXT j 20 IF kw = 0 THEN FF = .5 + s IF kw = 1 THEN FF = .5 - s b = ABS(FF - F(tt - 1)) bb = ABS(F(tt) - FF) maior = b IF bb > b THEN maior = bb x(tt) = maior GOTO 99 REM local difference= x(tt) 99 REM NEXT tt higher = -1 FOR ii = 1 TO n IF x(ii) <= higher THEN GOTO 22 higher = x(ii): llocal = ii 22 NEXT ii LOCATE 10, 1 x(llocal) = -2: high = -1 FOR i2 = 1 TO n IF x(i2) <= high THEN GOTO 33 high = x(i2): ll = i2 33 NEXT i2 higher = INT(10000 * higher + .5) IF higher > 8000 THEN higher = 8000 high = INT(10000 * high + .5) IF high > 9000 THEN high = 9000 max(higher) = max(higher) + 1 / ali max2(high) = max2(high) + 1 / ali NEXT k COLOR 14 LOCATE 8, 10 PRINT " largest 2nd " c(0) = .8: c(1) = .85: c(2) = .9 c(3) = .95: c(4) = .99 FOR tu = 0 TO 4: smax = 0 FOR zx = 0 TO 8000 smax = smax + max(zx) IF smax > c(tu) THEN GOTO 4 NEXT zx 4 LOCATE 10 + tu, 15 PRINT USING "#.#### "; zx / 10000; smax NEXT tu: smax = 0 FOR tu = 0 TO 4: smax = 0 FOR zx = 0 TO 8000 smax = smax + max2(zx) IF smax > c(tu) THEN GOTO 5 NEXT zx 5 LOCATE 10 + tu, 45 PRINT USING "#.#### "; zx / 10000; smax NEXT tu COLOR 7 END
|
|
|
|