### Table 7: Structure of the Analysis of Variance Table, for Single Factor Response Surface Regression

"... In PAGE 19: ... In a similar fashion, a confidence interval for our estimate of can be defined by noting that the standardized value for b should be t-distributed: (71) where is the true value for , so that (72) Regression results should also be framed in an analysis of variance framework. In the simple one factor case, a simple ANOVA table might be as shown in Table7 . In this case, is the sum of squared values of the estimates, and is an estimate of the variance explained by the model, where our model is purely linear (no intercept term) as given in Eq.... ..."

### Table 2-1. FAA Large Airport Capacities Under VMC

"... In PAGE 7: ...igure A-12. Transitions from (n1, n2), n1 gt; 0 and n2 gt; 0 .....................................................A-6 TABLES Table2 -1.... ..."

### Table 2-1. FAA Large Airport Capacities Under VMC

1999

"... In PAGE 7: ...igure A-12. Transitions from (n1, n2), n1 gt; 0 and n2 gt; 0 .....................................................A-6 TABLES Table2 -1.... ..."

### Table 4. Linear Least Squares Coefficients for VOCs Versus NOya

2003

"... In PAGE 6: ... The underestimate of NOy in the urban plume in the model base case is also evident in Figure 6. [28] Figure 7 and Table4 show the correlation between summed anthropogenic VOCs and NOy from measurements and from the standard model scenario along the aircraft trajectory for 17 July. Summed VOCs have been expressed as propene-equivalent carbon [Chameides et al.... In PAGE 7: ... Peak measured VOC levels are significantly lower than the model maximum values, but this may be the result of the relatively long averaging time (10 min) for the individual measure- ments. Measured VOCs are higher than model VOCs for equivalent NOy, but the slope between VOCs and NOy ( Table4 ) is slightly lower in the measurements than in the standard model scenario. [29] Unlike other VOCs, isoprene (Figure 8) does not correlate with NOy.... ..."

Cited by 1

### Table 2. The MLEs of the model parameters and their asymptotic standard errors in the parentheses under the SAD(1) model for different sexes of an F2 mouse progeny (composed of 259 males and 243 females)a

2005

"... In PAGE 5: ... In this example, the empirical estimate of the critical value is obtained from 100 permutation tests. This SAD-based model provided estimates of the curve paramet- ers as well as the innovation variance and antedependent coefficient that model the structure of the (co)variance matrix for each sex of the F2 progeny ( Table2 ). Estimated small sampling errors sug- gest that our model provides precise estimates of all the model parameters.... ..."

Cited by 1

### Table 5: Estimates from the marginal model with covariate-based CSD estimates as o sets.

"... In PAGE 14: ... The initial value (0) was set using a whole population estimate based on a joint log{linear model of independence between all sources, for (0) = 8:100, and with 0 L = log nL for L =G, D, O and S. The results are shown in Table5 . We note that the overall period-prevalence estimate from this model is lower than all those obtained from the joint log{linear models.... ..."

### Table 1: Revenue Change Under a Marginal Tax Rate Cut Sample Joint Filers

"... In PAGE 18: ... As with deadweight losses, the magnitude of revenue feedbacks are larger the larger are taxpayer behavioral responses. Table1 provides two simple examples of the effect of taxpayer behavior on federal revenues following a marginal tax rate change. Both examples use the mid-range elasticity estimate of Gruber and Saez of 0.... ..."

### Table 2. Regression analysis of GPA Mf using linear and linear-quadratic dose-response models

"... In PAGE 3: ... 2, right). To evaluate further the possible difference in cancer-related GPA dose response between the two cities, we did standard regression on GPA Mf using bone marrow dose, cancer status, sex, and age at examination as covariates, excluding subjects with values of GPA Mf gt;400 and those who had cancer diagnoses before GPA measurement ( Table2 ). Background GPA Mf (estimate for 0 Gy exposure) was lower in Nagasaki than in Hiroshima and lower in females than in males.... In PAGE 5: ...e., significant interaction among radiation, cancer, and city in their association with GPA MF; Table2 ). This does not necessarily imply that there is a significant correlation between GPA Mf dose response and cancer in Hiroshima subjects but not in Nagasaki subjects.... ..."

### Table 5. Linear correlation between predited and measured response time

2004

"... In PAGE 11: ... The linear relationship between predicted and measured response time is assessed to indicate the accuracy of the predicted optimal value. The calculation is shown in Table5 . The correlation coefficients of the three models indicate a good linear relationship between predicted and measured response time under the various settings of thread pool size.... ..."

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### Table 8: Partial Derivatives of Chile

"... In PAGE 14: ... While the neural network analysis shows that one can explain almost 2 4 percent of the variation in the Chilean stock market with a feed-forward model with ten neurons, the question remains, can one make sense of this model, or of any of the models? To interpret the linear model and the best polynomial and neural network , one needs to examine the partial derivatives implied by the alternative parameter estimates. The partial derivatives appear in Table8 , below. The linear model shows that only the lagged home-market is significant for the Chilean index.... ..."