### Table 3. Regression Results

"... In PAGE 17: ... Year dummies, D1997 and D1998, are included in the model to control for systematic differences across time. A Fixed-Effect model is estimated and reported in Table3 assuming that country- specific effects vary systematically among the exporting countries. The results for alternative specifications are also presented in the table.... ..."

### Table 2. Reliability measures for regression models.

"... In PAGE 12: ...hows fuzzy regression equations at h = 0.0 and h = 0.5. Also Table2 contains values of HR, HSe, HSe/Sy, which allows estimating the adequacy of developed models. Table 2.... In PAGE 15: ... It provides more accurate estimations with practically the same bounds of fuzzy models. As it is shown in Table2 , fuzzy regression models using genetic algorithm are more adequate at h not equal to 0, because then HSe/Sy smaller, than for fuzzy regression models using simplex-method. Although at h=0 the situation is opposite.... In PAGE 15: ....2. Results ( is crisp, Y is fuzzy) The following results were obtained at fuzzy initial data. Table2 shows fuzzy regression equations at h = 0.0, h = 0.... In PAGE 17: ...29 Also as it is shown in Table2 , fuzzy regression models using genetic algorithm are more adequate at h not equal to 0, because then HSe/Sy smaller, than for fuzzy regression models using simplex-method. Although at h=0 as it was mentioned the situation is opposite, that is traditional models are more adequate.... ..."

### Table 1. Summary of various shape metric values for invalid elements.

"... In PAGE 7: ... The solutions from these three cases must be thrown away. Table1 summaries the values of the various shape metrics for negative Jacobians at Gauss points. From Table 1 and Figures 17 and 18, it can be seen that for invalid elements, the values of the aspect ratio as well as warping factor did not show particularly different.... In PAGE 7: ... Table 1 summaries the values of the various shape metrics for negative Jacobians at Gauss points. From Table1 and Figures 17 and 18, it can be seen that for invalid elements, the values of the aspect ratio as well as warping factor did not show particularly different. In other words, these two shape measures cannot identify invalid elements.... ..."

### Table 3: Nonlinear dynamic model with trend

"... In PAGE 17: ... Turning to the model of income dynamics, Table 2 gives our estimates of equation (4) without the trend (suppressing the constant term in 4).7 Table3 gives the results including the 7 The sample mean annual income is Yuan 446 per capita at 1985 prices (with a standard deviation of 264), while the corresponding mean for expenditure is Yuan 345 (standard deviation of 166).... ..."

### Table 3: Nonlinear dynamic model with trend

"... In PAGE 14: ... Turning to the model of income dynamics, Table 2 gives our estimates of equation (4) without the trend (suppressing the constant term in 4).7 Table3 gives the results including the 7 The sample mean annual income is Yuan 446 per capita at 1985 prices (with a standard deviation ... ..."

### Table 9 - Estimated Construct Reliability for Revised Model From Calibration Sample

1998

"... In PAGE 25: ... Assessment of the measurement model. Table9 reports the reliability of the composite scale for each construct using the measured variables. Let the expression, y = B x + e , be a general form for a set of structural equations, where y is a vector of measured variables for a particular latent construct in question, B is a matrix (or a vector) of regression coefficients of y on x , which is a vector of predictor variables including the latent construct in question and possibly some other predictors (when specified in the equations), and ... In PAGE 26: ...Table9... In PAGE 26: ...Table9... ..."

Cited by 9

### Table 2: Life-Cycle Activities and Corresponding Survivability Elements

"... In PAGE 28: ... Under the spiral model, expenditures are typically higher in early specification and design activities, resulting in cost savings in later imple- mentation and integration activities. Table2 identifies a typical set of broad system-development activities and the corresponding survivability elements of each. The key point is that survivability is integrated into the broader activities.... In PAGE 28: ... For example, in defining system requirements, the following must be de- fined along with survivability attributes: function, performance, dependability, scalability, and other properties. The activities in Table2 comprise the subject matter for project man- agement under the specialized spiral model of Figure 2. Spiral Process Model Foundation: Primary Motivation/Driver: Primary Constraints: Functionality Performance Dependability Scalability .... In PAGE 29: ... 3.3 Life-Cycle Activities and Survivability The key survivability elements of Table2 are the principal tasks that must be managed within the spiral model to achieve system survivability. The Survivable Network Analysis (SNA) technique has proven to be useful in requirements definition, system specification, and sys-... ..."

### 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. Feature selection for the breast cancer data: 51 features used by Hendenfalk et al. (2001)

2004

"... In PAGE 7: ... There are no misclassifications by Models I and II and two misclassi- fications (17th and 18th sample) by Model III. We compare our CV results with other popular classification algorithms in Table2 . All other methods have used 51 genes.... ..."

Cited by 10

### Table 1. Hazards and General Associated Utility of Remotely Sensed Data. (Adapted from Wadge, 1993, p. 10)

in Published by

1999

"... In PAGE 5: ...TABLE OF CONTENTS The James and Marilyn Lovell Center for Environmental Geography and Hazards Research i Center Scholars and Research Interests ii Introduction 1 Description of Material Found in the Bibliography 1 An Invitation to Authors 2 The Use of Remote Sensing in Detecting and Analyzing Natural Hazards and Disasters, 1972-1998: A Partially Annotated Bibliography 6 List of Tables Table1 . Hazards and General Associated Utility of Remotely Sensed Data 3 Table 2.... In PAGE 6: ... Additionally, because of the sometimes bewildering number of acronyms commonly used in remote sensing, Appendix B provides a glossary of acronyms found in some of the references and pertinent to the field. To further assist scholars and environmental managers, Table1 provides a general overview of different types of hazards addressed, sensors used to study them, types of data the sensors ... ..."