quantile method overestimates m and s (average of + 48 percent, range: . to + 160 percent, O-15 cm soil). For 137 . Cs with few measurements below - the MDA, the differences between methods are smaller. For 137 Cs 0-15 cm soil measurements the arithmetic mean, x, underestimates -5 percent (range: 32 percent to +6 percent), and for the quantile method, x averages 21 percent lower (range -50 percent to 0 percent). As we can see (Table 46), radionuclide concentration data above the MDA the arithmetic averages make“a good approximation to the Krige mean for coefficient of variation c, averaging 0.9 (range: 0.6 to 1.5). Recently, White4] found the arithmetic mean to have a 75 percent efficiency for ‘coefficients of variation, c, less than 2. Tnis efficiency is also show by Aitchison and Brown .34 The value of the shifting parameter can be seen fror Tables 45 anc 46 to be roughly equal to the MDA velues of Z4las (0.2 to 1.5 pci/gz) and 137¢e (0,1 pCi/gm). MDA, set to MDA. Both of these data sets have values less than Similar analysis negative values of T. The 1376. on unaltered data exhibits lower or values (Table 46) are seen on samples Enjebi (Janet) NE and Kidrinen (Lucy) to be unreasonably large, and without physical basis. The improvement in lognormal fit wes marginal and the T could have been set to zero; however, the Krige method is fairly insensitive to T as illustrated by example, 29 anc as our tests have also shown. The computer computational codes were tested with artificial lognormal samples. A 105 term approximation4? generated by a rectangular distributed psuedo-random generator produced these artifical sarcpies. Testing samples numbers ranged from 4 to 255. 41 - a 5011120 Ps OF D> eat 4] / e k yb eee ec KY Pia vys Z