### 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 IV: Response Surface Equation Coefficients

in Application Of A Response Surface Method To The Design Of Tipjet Driven Stopped Rotor/wing Concepts

### Table 2: Response Surface Estimates for = 2a

"... In PAGE 17: ... R2 is the adjusted R2{value. to the simulated quantiles, we obtain the OLS estimates reported in Table2 . As the R2{values indicate, the t of (51) is extremely close.... ..."

### Table 3. R-coefficients of the Response Surface Models

"... In PAGE 17: ...quadratic response surface models (RSMs) are first obtained and their accuracy values are checked before proceeding to robust design. The values of the R-coefficients for the seven RSMs are given in Table3 . The closer the R-coefficients are to unity, the better the approximation is.... In PAGE 17: ... For the other four performance (the four objectives), the RSMs are not accurate enough. Insert Table3 . R-coefficients of the Response Surface Models 4.... In PAGE 30: ... Problem Identification and Classification of Parameters Table 2. Noise Parameters for the Engine Design Table3 . R-coefficients of the Response Surface Models Table 4.... ..."

### Table VI: Response Surface Equation Coefficients for $/RPM for the V800

in Preliminary Assessment Of The Economic Viability Of A Family Of Very Large Transport Configurations

### Table 3 Posterior summaries of the unconstrained and constrained regression coefficients for the

2003

"... In PAGE 14: ...In addition, the posterior variance for the constrained parameters was 41% lower (on average) than that for the unconstrained parameters, suggesting an improvement in efficiency. Table3 presents posterior summaries of the regression coefficients characterizing the co- variate effects. Table 3 also provides estimated Bayes factors for testing the hypotheses of interest; namely, decreases in the hazard of conception with increases in smoking frequency and with occurrence of recent pill use.... In PAGE 14: ... Table 3 presents posterior summaries of the regression coefficients characterizing the co- variate effects. Table3 also provides estimated Bayes factors for testing the hypotheses of interest; namely, decreases in the hazard of conception with increases in smoking frequency and with occurrence of recent pill use. For the highest category of cigarette smoking ( gt; 15 cigarettes smoked / day) there was strong evidence of decreased fecundability relative to the non-smokers, with the Bayes factor equal to 28.... ..."

Cited by 1

### Table 2: Unconstrained and Constrained Regression Estimates

2003

"... In PAGE 18: ...covariates to assess whether there is a depressing effect of minority status on fertility. [Table 1 about here] We estimate the model with socio-economic covariates under two regression specifications, alternately including and excluding the income variables (see Table2 ). In both models, we control for marriage duration and presence of a pre-marital child when estimating the year-by-year effects of being black on having a birth.... In PAGE 18: ...001). The values of the log-likelihood for each equation are given in Table2 . As the standard errors for these parameters are trivially reduced by introducing constraints, it follows that the test for improving the model fit is almost identical when comparing the two specifications in the constrained models versus in the unconstrained models.... In PAGE 18: ... Accordingly, the magnitudes of the coefficients for the year dummies and black-by-year interactions vary much less over the 1985 to 1994 period in the constrained model than in the unconstrained model. [ Table2 about here] The reductions in standard errors are of trivial magnitudes, however, for all indirectly- constrained variables, in all cases by less than 1 percent. Noteworthy here is that even for the interaction variable between black and non-marital child, the standard error is reduced by less than 1 percent.... In PAGE 27: ...Table2 : Unconstrained and Constrained Regression Estimates (continued) With income-to-poverty variable Unconstrained Constrained s.e.... ..."

### Table 2: Unconstrained and Constrained Regression Estimates (continued)

2003

"... In PAGE 18: ...covariates to assess whether there is a depressing effect of minority status on fertility. [Table 1 about here] We estimate the model with socio-economic covariates under two regression specifications, alternately including and excluding the income variables (see Table2 ). In both models, we control for marriage duration and presence of a pre-marital child when estimating the year-by-year effects of being black on having a birth.... In PAGE 18: ...001). The values of the log-likelihood for each equation are given in Table2 . As the standard errors for these parameters are trivially reduced by introducing constraints, it follows that the test for improving the model fit is almost identical when comparing the two specifications in the constrained models versus in the unconstrained models.... In PAGE 18: ... Accordingly, the magnitudes of the coefficients for the year dummies and black-by-year interactions vary much less over the 1985 to 1994 period in the constrained model than in the unconstrained model. [ Table2 about here] The reductions in standard errors are of trivial magnitudes, however, for all indirectly- constrained variables, in all cases by less than 1 percent. Noteworthy here is that even for the interaction variable between black and non-marital child, the standard error is reduced by less than 1 percent.... In PAGE 26: ...Table2 : Unconstrained and Constrained Regression Estimates Without income-to-poverty variable Unconstrained Constrained s.e.... ..."

### Table 3: Threshold delay estimates at various thresh- olds for non-monotone response under HSPICE, Elmore and our New models. For the case of h = 3000 m the poles are real (monotone response). Source resistance is 50 and load capacitance is 2 pF.

1997

Cited by 3

### Table 4: Threshold delay estimates at various thresh- olds for non-monotone response under HSPICE, Elmore and our New models. For the case of h = 3000 m the poles are real (monotone response). Source resistance is 50 and load capacitance is 3 pF.

1997

Cited by 3