On a= yeXpip s — = c4(R)(1+ 83)(1+ v3\S"iB) - GIB) |, KA9) respectively, where \BKy"], e* yan _ (eOKrv _ et (SIB) = (BK + Ayty? [(1 _ + (stp) =(BK + ay?{aay+ e-*[(1- 26" )2pKiy" ; 2(eK _ 1)(BK _ Ay? _ (2a) I} The averages (SIB)and (S?1B) with respect to H were each evaluated numerically for different B values equally spaced over the rangejof 8, whereupon it was found that oygt”’ is for each given t,O<t <WOy,a virtually linear function of (X|B¥7™ over a B - and t-dependent range pf the latter, and furthermore that corresponding (XIBy¥7 values are vimtually uniformly distributed over these linear ranges (Figure D3). The coefficients {a,b|t} and corresponding (XIS\¥"'-range boundaries {x,, systematic Latin-Hypercube sampling procedures. Calculations were d a NeXT workstation using the programs Mathematica (Wolfram, 199[) and RiskQ (Bogen, 1992). Analyses of quantile convergence indicated that Q01- to 0.99-fractiles obtained are accurate to within ~1 to 5%. D-7