### Table 4. Averaged standard deviation comparison.

"... In PAGE 13: ... Therefore, statistically, the NC does not introduce improvements compared with WOC system. Table4 shows the averaged standard deviations of each evaluation metric for among all the driversindifferenttestedsystems.Thelongdrivingandshortdrivingexperimentsareseparated as they exhibit different values.... ..."

### Table 3: E ciency: Groups of averages that are not signi cantly di erent. feedback closest density long short long short long short

1997

"... In PAGE 4: ... We performed Tukey apos;s W test, comparing the average log- arithms of the clock times of the projections. The results of the test are summarized in Table3 . This analysis yields a critical value for a given alpha level, chosen to be 0.... ..."

Cited by 73

### Table 3: E ciency: Groups of averages that are not signi cantly di erent. feedback closest density long short long short long short

1997

"... In PAGE 4: ... We performed Tukey apos;s W test, comparing the average logarithms of the clock times of the projections. The results of the test are summarized in Table3 . This ana- lysis yields a critical value for a given alpha level, chosen to be 0.... ..."

Cited by 73

### Table 3 Long and Short Run Terminal Costs

"... In PAGE 6: ... We also had the added benefit of using a panel, which reduces the problems associated with either exclusive time series or cross-sectional data. Table3 presents the final estimates for both short and long run terminal costs. Alternative functional forms, as well as dummy variables for some airports, were tested in the estimations but were insignificant in the final outcome.... In PAGE 6: ... The simple arithmetic relationship had the best statistical fit. The long run cost relationship is illustrated in Table3 in which total costs, capital plus operating costs, were regressed on values for passengers. We were not able to distinguish between domestic and international passengers.... In PAGE 7: ...45 per passenger. For the short run costs in Table3 the constant term is significant, indicating the presence of fixed costs and the parameter estimates on the linear and second order term are both statistically significant at the 10 percent level. The results indicate that short run marginal costs are rising at a relatively constant rate; the second order coefficient is non- significant.... ..."

### Table 3: Results of the comparison of human and automated spreadsheet assessors

### Table 4: #(GLS) is the number of gates covered by long and short paths. #(GLS ) is the number of gates covered by long and short destabilizing paths. #(GL S) is the number of gates covered by long sensitizable and short paths.

"... In PAGE 15: ... This problem has been addressed before in [3]. We have experimented with several typical circuits in ISCAS85 and the results are tab- ulated in Table 1, Table 2, Table 3, and Table4 . For simplicity, we assume that tc = ts + th is zero.... In PAGE 16: ... In general, we would like them to share as few gates as possible. In Table4 , this can be seen to be true for our test cases.... ..."

### Table 1. Short and long breaks.

2004

"... In PAGE 4: ... These differences are related to four variables: the total duration of the exploration, the total distance traversed, the sequence of main strategies implemented and the number of pauses made while exploring the unknown space. Data in Table1 show significant differences between the experimental and the control groups in that the experimental group took more breaks during their exploration tasks. Table 1.... ..."

Cited by 1

### Table A6: Short-Rates: Long-run Causality Tests

1998

### Table 4: Quick Scan success rate with varying ratio of long to short fragments

"... In PAGE 7: ... As would be expected, increasing the marker spacing increases the number of database queries. Table4 examines the effects of the ratio of long to short fragments. More long fragments means more possible steps.... ..."

### Table 9: 95% Confidence intervals for a 5% sample containing 1150 short items and 1000 long items.

"... In PAGE 33: ... Of course, these confidence intervals depend on the number of items that was checked. Table9 gives confidence measures for the SpeechDat databases, where 1150 short items and 1000 long items are checked for all... ..."