### Table 4: Distribution of dependencies of the words

1997

Cited by 2

### Table 1: Distribution of the dependent variable Model currently owned

### Table 2. Frequency of stimulus distribution depending on the irrelevant-to-the-task color of the digits.

2006

Cited by 1

### Table 3: Test-bed B: Average and maximum relative error from simulated distribution, depending on the type of distribution and the number of supporting points.

2001

"... In PAGE 13: ...umber of activities. We here observed a constant relative error. The obtained values of the relative error for Test-bed B are still remarkable, but they cannot compete with corresponding results for Test-bed A, cf. Table3 . In par- ticular, the average relative error varies between 1.... ..."

Cited by 9

### Table 1 Means, standard deviations, and subject distribution for dependent variables Treatment Appraisal List Purchase Lowest Cell size Cell size

"... In PAGE 8: ... Results A total of 131 subjects participated in the experi- ment. Each subject was randomly assigned to one of five treatment groups, as shown in Table1 . How- ever, as was pointed out previously, eight of the 55 subjects in the warnings treatment never saw any warnings, as the estimates they provided were out- side of the range of values that triggered warnings.... In PAGE 8: ... This altered the effective distribution . of subjects to cells Table1 . Table 1 also provides the mean and standard deviations for each treatment and control group for all four values that subjects provided.... In PAGE 9: ... If the warnings had some effect, however, one would expect larger distances between the anchor and the final estimates for those who had been warned than for those who had not. In reviewing the data in Table1 , it is clear that subjects who received warnings entered relatively lower final values, com- pared to their peers who did not receive warnings. Subjects who received warnings did in fact provide final values further away from the anchors they were provided than those who did not receive warnings.... ..."

### Table 2: Partial Correlation Regression Resultsa Includes Other Moments of IPPI Distribution Dependent Variable: Y/Y Inflation 1963 to 1994

1997

"... In PAGE 17: ... Thus, the information contained in the other moments of the distribution should appear to be redundant unless there is an independent effect of the variance as predicted by the effects of trend inflation on price adjustment. Table2 presents the results for these comparisons using IPPI and PGDP inflation (note that the shaded parameter estimates indicate insignificance at the 10 per cent level). It is evident from the table that all moments measures are insignificant at conventional levels.... In PAGE 18: ...estimated effects of skewness rather than changing them qualitatively. Overall, the results from Table2 suggest that encompasses the information contained in the second and third moments of the distribution of relative-price changes, and there is little evidence of an independent effect of the variance of the relative-price distribution on inflation. Given the construction of our asymmetry variable and the presence of large innovations in commodity and oil prices during the sample period, it is possible that may be simply proxying commodity and oil-price shocks.... ..."

### Table 3: Distribution of stream lengths This figure shows how the stream lengths are distributed. Note that this distribution depends on the number of streams being used. We used ten streams for these experiments.

1994

"... In PAGE 6: ... By stream length, we mean the number of references after which the regular pattern of accesses is broken. Stream length distributions are shown in Table3 . For most benchmarks stream lengths of less than 5 and greater than 20 constitute a major fraction of the hits.... ..."

Cited by 173

### Table 1: Properties of the occluded angle distribution for some simple 2D curves. A reconstruction space which encloses the convex hull of the objects is considered in these examples so that the distribution dependency on S may be ignored.

1998

"... In PAGE 6: ... However, some important general characteristics can be inferred by considering a few speci c objects which might otherwise be considered of little practical signi cance. Table1 lists properties of the occluded angle distribution for seven such cases. An in nite reconstruction space which encloses the convex hull of the object data is chosen so that the reconstruction dependency on S can be ignored.... In PAGE 10: ... 5.1 Thresholding Having formed an estimate of the occluded angle distribution, it is possible to recon- struct simple objects such as those described in Table1 by applying a threshold to the distribution.... In PAGE 10: ...Fig. 4 illustrates the reconstruction of an incomplete circle (case 5 in Table1 ). The... In PAGE 11: ...ig. 4(c) has resulted in holes. This is the critical value predicted by Eq. (4) in Table 1 which should reconstruct the circle in the ideal case. However, the discrete data approxi- mately represents the theoretical case analysed in Table1 . The practical defects resulting from a nite number of projections and aliasing due to pixel-based ray tracing can be reduced by median ltering the accumulator.... ..."

Cited by 4

### TABLE 2.4. THE EFFECT OF CORRUPTION ON QUALITY OF INFRASTRUCTURE Telephone faults per Roads, paved Electric power transmission and distribution Dependent variable 100 main lines (% of all roads) losses (% of output)

2001

### Table 3. Execution times of the algorithm using the partially variable block distribution, depending on the number of variable groups. Bold lines correspond to the optimal number of variable groups.

"... In PAGE 5: ... A small heterogeneous local network of 4 different Solaris and Linux workstations shown in Table 2 is used in the second group. Table3 gives the ex- perimental results. One can see that for each problem size there is the optimal number of variable groups providing the best performance of this algorithm (shown in bold font).... ..."