### Table 7 displays the results of the IV estimation. The good news is that the point estimates on the key

1999

"... In PAGE 18: ...Table 3 to 1.444 in Table7 . However, the bad news is that none of the estimates in Table 7 are even close to being statistically significant.... In PAGE 29: ... Table7 : Interactive Specification Using Bankruptcy Exemption Instrument DEBT = HIGHLTV DEBT = MEDIAN DEBT = YESLOAN dI t 0.237 (0.... ..."

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### Table 5: Covariance Structure Analysis: Maximum Likelihood Estimation Goodness of Fit

"... In PAGE 93: ...25 15 36 3.14 The goodness of fit indices for the reduced model are presented in Table5 . These indices provided a mixed review of the effectiveness of the model in explaining decision making.... ..."

### Table 2: Goodness of fit measures of estimated LISREL models

"... In PAGE 22: ...f. Table2 next page, was very good. The model can, by the Chi-square of 31.... In PAGE 23: ...odel. Now a very good model appeared, which we called the reduced model, c.f. Figure 4 and Table2 below. The Chi-square is now 33.... In PAGE 23: ...f. Table2 . Besides, 90% of the variation in the latent variable, LEARNING... ..."

### Table 1. Theoretical estimate of good pair probability for RC5 .

"... In PAGE 3: ... It generates all Fibonacci sequences with corrections and calculates their total probability. Output of the program corresponds to one entry of Table1 . Note, that weights loaded in F[0] and F[1] correspond to symmetric di erences (like 80000000 80000000), F[i] being the weightofR i+1 .... In PAGE 8: ...is about 2 ;24 according to the Table1 , but in realityit ranges from 2 ;20 to 2 ;24 for di erentkeys. Thus RC5 key can be weak in many unpredictable ways.... In PAGE 8: ... This beginning is four times better than (e w ;; 0) and about 25 times better than (0;;e w ) for most of the Keys 6 . The probability p of a good pair of type (e w ;;e w ) for 12 rounds is about 2 ;30:9 (see Table1 ). Thus for a straightforward approachwe will need a pool of 1=p =2 30:9 chosen pairs with input di erences (e w ;;e w ).... In PAGE 9: ... We assumed that the starting di erence is (e w ;;e w ). As a result Table1 gives the upper bounds for the probability of a good pair for RC5 (with 32 and 64-bit words), whichwere calculated as a sum of probabilities of all possible corrected Fibonacci sequences of length n =2r (the last (2r + 1)st half-round is not relevant to probability calculations). This table... ..."

### Table 1: CGE Elasticities Estimated from Detailed Sectoral Models

2003

### Table 2: Goodness of Fit Measures Measure Estimate Suggested Conclusion

### Table 6: The percent of global actions between the lock prefetch and the lock acquire. This is a good estimate on how far in advance the lock prefetch is launched. All measurements for the low latency network with SMP nodes.

"... In PAGE 17: ... On the other hand, the lock contention is increased from 0% to 2%. Table6 shows how many global actions there are between the lock prefetch and the lock acquire. As global actions takes as long as lock acquisi- || 0 | 11 | 21 | 32 | 42 | 53 | 64 | 74 | 85 | 95 | 106 Normalized Execution Time Water-Spatial LU Qsort Water-Spatial LU Qsort NET LOCK LOCK CONT COHERENCE BUSY NO LP NO LP NO LP NO LP NO LP NO LP 100 99 100 98 100 98 100 106 100 98 100 103 0 0 3 3 2 1 1 1 9 8 3 2 2 2 25 24 34 33 1 2 19 19 20 23 16 15 39 38 9 9 15 20 38 36 14 15 82 82 33 33 55 55 83 83 34 34 63 63 Figure 9: The execution time for the system with lock prefetching (LP) relative to the base system (NO) for each application.... ..."

### Table 1: Estimation results for the rearms homicide dataset: The goodness of t statistics and

"... In PAGE 19: ... In particular a simple one parameter Poisson model, Po( ), is considered together with a static Poisson model with gamma heterogeneity, Pg( ;; ). The maximum likelihood results for these models are given in Table1 . The diagnostics of the table will be examined in the following section.... In PAGE 19: ... The marginal posteriors for ( , ;; ) 0 are given in Figure 2. The corresponding means and covariance matrix are given in Table1 . Figure 3 displays the marginal posteriors for ( ;; 2 ;; ), perhaps a more interpretable transformation.... In PAGE 20: ...log L( b ) = log f(y 1 ;;:::;;y n j b ) = n;1 X t=0 log b f(y t+1 jF t ;; b ): This allows the calculation of the log-likelihood to be evaluated at the Bayesian mean b . In Table1 we show the log-likelihood of our model. Interpreting classically, the likelihood ratio test indicates that the temporal parameter, ;; is highly signi cant compared with the nested Pg( ;; ) model, for which = 0.... ..."