### 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 5. Performance of the Varimax and Partial Least Squares Estimators

"... In PAGE 21: ... The means of the 100 squared distances (empirical MSE estimates) for each of the other PCR methods and each of the 32 simulation settings are provided in Table 4. Analogous results for the varimax and PLSR estimators are provided in Table5 . For each of the 32 simulation settings, the OLSR estimator along with the other estimators discussed in Section 6 were ranked according to their empirical MSE values with lowest ranks corresponding to lowest empirical MSE.... ..."

### Table 5. Ratios of the variance of the nonlinear least squares estimator to the variance of the generalized least squares estimator. n = 25 n = 100

"... In PAGE 9: ... For our model with estimated ( 1; 2; ), it can be shown that the limiting distri- bution of the nonlinear least squares estimator of ( 1; 2) is the same as the limiting distribution of the generalized least squares estimator constructed with known . Table5 compares the Monte Carlo variances of the nonlinear least squares esti- mator of ( 1; 2) with the infeasible generalized least squares estimator of ( 1; 2). The ratios of the empirical variance of the nonlinear least squares estimator to the empirical variance of the generalized least squares estimator for various values of are given in the table.... ..."

### Table I. Feasible Generalized Least Squares Estimates for the Land Value Model

### Table 3: Two-Stage Least-Squares Estimates

"... In PAGE 9: ... We next conduct a 2SLS analysis in which LNDIST, INITIAL, EDU, REF, LPRIV and SPRIV are used as instruments for NEWENT in a first-stage regression, and the fitted value of NEWENT is combined with the remaining variables (IO, DEFENSE and PRICE) in a second- stage growth regression. The estimates we obtain are reported in Table3 . Consider first the NEWENT regression.... In PAGE 9: ... The coefficients on LNDIST and SPRIV are statistically insignificant, but the remaining variables each appear to have a significant relationship with NEWENT, both statistically (at the 5% level) and quantitatively. To characterize quantitative significance, we report the impact on NEWENT of a one-standard-deviation increase in each variable in the last column of Table3 . For example, a one-standard-deviation increase in initial income (representing an 79% increase in the purchasing power of money income per capita in 1993:IV, as reported in the sixth column of Table 3) corresponds with an additional 0.... In PAGE 9: ... To characterize quantitative significance, we report the impact on NEWENT of a one-standard-deviation increase in each variable in the last column of Table 3. For example, a one-standard-deviation increase in initial income (representing an 79% increase in the purchasing power of money income per capita in 1993:IV, as reported in the sixth column of Table3 ) corresponds with an additional 0.549 additional new enterprises per 1000 inhabitants on average across regions.... In PAGE 10: ... A similar observation holds for the reformist voting proxy. The 2SLS estimates reported in Table3 are of course based on identifying restrictions used to select instruments for NEWENT in the first-stage regression. The restrictions involve the exclusion of the variables used as instruments from the second-stage growth regression.... In PAGE 10: ...586), while the quantitative significance of the remaining variables is negligible by comparison. Thus there is reasonable empirical support for the identifying assumptions upon which the results of Table3 are based. We conclude our analysis with an assessment of the influence of the outlier regions.... ..."

### Table 4 summarizes the results of ordinary least-squares estimation of (1)

1995

Cited by 11

### Table 1: Lowest Sum of Squares estimate to sunspots data

1997

Cited by 3