### Table 1: Right-Tail Comparison

"... In PAGE 35: ... We rst consider the right tail of the distribution, where Theorem 3(i) applies. In Table1 we compare the exact (numerical) values of 1 ? hk n to the asymptotic formula in Theorem 3(i).... In PAGE 35: ... For j gt; n?k1, 1?hk n may become negative, as then we are clearly out o the range of validity of this asymptotic result. Table1 shows good agreement between asymptotic... ..."

### Table 5: Stationary queue length distribution for the binomial case, n = 16, q =0.5, s = 10.

in Manuscript:

2005

"... In PAGE 18: ...5, s = 10. Table5 displays some of the xj, calculated by xj(L)forL =10, 20, 30. Additionally, the xj have been determined from (12) where the roots of zs = A(z) outside the unit circle follow from (25) (with the sum over l truncated at l = 60).... ..."

### Table 5: Stationary queue length distribution for the binomial case, n = 16, q = 0:5, s = 10.

2004

"... In PAGE 21: ...xample 5.8. Consider the binomial case, A(z) = (p + qz)n where p, q 0, p + q = 1, for which we take n = 16, q = 0:5, s = 10. Table5 displays some of the xj, calculated by xj(L) for L = 10; 20; 30. Additionally, the xj have been determined from (12) where the roots of zs = A(z) outside the unit circle follow from (25) (with the sum over l truncated at l = 60).... ..."

### Table 4: Stationary queue length distribution for A(z)=Y (z)6, with Y (z) given in (57), s = 30.

in Manuscript:

2005

"... In PAGE 18: ... For (23), (25) and (51) we truncate the sum over l at l = 60. The results are displayed in Table4 . We see that both Table 4: Stationary queue length distribution for A(z)=Y (z)6, with Y (z) given in (57), s = 30.... ..."

### Table 1. The DGE algorithm The irreducibility of the Markov chain guarantees that the stationary distribution vector

### Table 5. Tail Weight and Asymmetry for Ability Distributions

1989

"... In PAGE 9: ...36 [page 161] Table5 shows that results were similar for ability measures, with 23 (10.0%) at or about the Gaussian and 20 (8.... In PAGE 11: ...6% had at least one moderately heavy tail) than did ability measures. 49 Table5 suggests that general ability measures tend to exhibit less extreme contamination than do the other measures. None had tail weights at or near the uniform, and only 3.... ..."

Cited by 8

### Table 4: Stationary queue length distribution for A(z) = Y (z)6, with Y (z) given in (83), s = 30.

2004

"... In PAGE 21: ...results are displayed in Table4 . We see that both (12) and (50) lead to similar results as obtained in [10].... ..."

### Table 6. Tail Weight and Asymmetry for Psychometric Distributions

1989

"... In PAGE 9: ...7%) exhibiting relative symmetry and tail weights less than that expected at the Gaus- sian. 37 Table6 shows that 4 psychometric distributions (3.2%) exhibited both relative symmetry and tail weights near the Gauss ian and 39 distributions (3 1.... In PAGE 16: ...xtremely conservative, having an obtained alpha of about .01 when nominal alpha was .05. Unfortu- nately, this population was not included in their discussion of power. However, from their Table6 , it is interesting to note that the only comparison between two-sample tests in which a substantial power advantage accrues to any test is that between populations IIIA and IA (uniform). In that situation, the van der Waerden test exhibited a considerable power advantage at sample size 10 over both the parametric confidence interval and the Mann-Whitney/Wilcoxon tests.... ..."

Cited by 8

### Table 5: Probability mass at k1 only.

"... In PAGE 14: ... The gure illustrates the concentration at one point or two points (cf. also Table 4 and Table5 ). We also observe that the asymptotic distribution for the PATRICIA height qualitatively resembles the asymptotic distribution for b-tries with large b (cf.... In PAGE 39: ... This simultaneously avoids the mass at k1 ? 1 and k1 + 1. We accomplish this by selecting fn i g1 i=1 such that n i = j2i+3?p2i+5k : In Table5 we consider a few values of n i and show the exact hk n for k = k0 and k = k1. When n = 10(= n 4) the mass at k1 is about 0:49 and it gradually increases to 0:76 when n = 446(= n 11).... In PAGE 39: ... To make (5.8) less than 0:01 requites n gt; 288000! The last two entries in Table5 are computed according to the approximate formula (5.8).... ..."

### Table 1: Asymptotic Messaging Costs Player distribution

"... In PAGE 4: ... In general, all operations take at most loga- rithmic time in terms of the number of peers, while some only take constant time. Table1 summarizes these results. In the following discussion, n is the number of nodes in the N-Tree, p is the num-... ..."