### Table 4: Blocking probabilities for the large and small flows with heterogeneous traffic.

2000

"... In PAGE 10: ... As noted in [4] traditional MBAC ad- mission control has a similar tendency to discriminate against big- ger flows. Table4 presents the blocking probabilities of the large... ..."

Cited by 83

### Table 4: Blocking probabilities for the large and small flows with heterogeneous traffic.

2000

"... In PAGE 10: ... As noted in [4] traditional MBAC ad- mission control has a similar tendency to discriminate against big- ger flows. Table4 presents the blocking probabilities of the large... ..."

Cited by 83

### Table 4: Blocking probabilities for the large and small flows with heterogeneoustraffic.

2000

"... In PAGE 10: ... As noted in [4] traditional MBAC ad- mission control has a similar tendency to discriminate against big- ger flows. Table4 presents the blocking probabilities of the large and small flows in this scenario. The MBAC level of discrimina- 66... ..."

Cited by 83

### Table 4: Blocking probabilities for the large and small flows with heterogeneoustraffic.

2000

"... In PAGE 10: ... As noted in [4] traditional MBAC ad- mission control has a similar tendency to discriminate against big- ger flows. Table4 presents the blocking probabilities of the large and small flows in this scenario. The MBAC level of discrimina- 66... ..."

Cited by 83

### Table 4: Blocking probabilities for the large and small flows with heterogeneoustraffic.

2000

"... In PAGE 10: ... As noted in [4] traditional MBAC ad- mission control has a similar tendency to discriminate against big- ger flows. Table4 presents the blocking probabilities of the large and small flows in this scenario. The MBAC level of discrimina- 66... ..."

Cited by 83

### Table 3. Probability q of large blackout not oc- curring

in Branching process models for the exponentially increasing portions of cascading failure blackouts

2005

Cited by 6

### Table 3. Probability q of large blackout not oc- curring

2005

### Table 3a. Flow-Exceedance Probability Function of Known Large/Flat Data Sets

"... In PAGE 5: ...able 2. HEC-FDA Data Set Matrix...................................................................................................... 26 Table3 a.... In PAGE 5: ...able 3a. Flow-Exceedance Probability Function of Known Large/Flat Data Sets............................... 27 Table3 b.... In PAGE 35: ...28 Table3 b. Flow-Exceedance Probability Function of Known Small/Steep Data Sets Small/Steep Data Set Mean Flow (cfs) Rio De Flag, AZ 19 Warm Springs, CA 70 Beargrass Cr, KY 401 Lower Mission Cr, CA 500 Deer Creek, MN 534 Harmon/Chippewa, GA 707 Strong Slough, CA 788 Wailupe, HI 949 Antelope Cr, NE 1,900 Perry Creek, IA 2,180 NW Anacostia R, VA 4,410 Anacostia R, VA 5,154 For consistency with Bulletin 17B recommendations and ease of sensitivity analysis, base case functions were created as Log Pearson Type III with zero skew, or Log Normal (IAWCD, 1982).... ..."

### Table 1. Summary of current estimates for the short- and large-distance decay exponents for the three probability distribution functions considered in this work.

1980

Cited by 1

### Table 4: Number of digits of precision used in each experiment. The number of digits of precision is d? log10 uloe, where ulo is a residue value de ned such that for large n, the probability that uopt ulo is less than 10?5 (see appendix).

"... In PAGE 26: ...digits of precision was chosen such that the probability that the optimal residue would round to zero, were it to be represented in integer form, is less than 10?5. Table4 shows the number of digits used in the 100-element instance and with the other problem-instance sizes for which results... ..."