### Table 1: Null Powers Of A 0.05 Level Test Based On Matched Pairs

1996

"... In PAGE 6: ... Repeat with the CT patient with the second longest study time. Table1 give the estimated powers of a 0.05 level sign test #28based on the score statistic from a strati#0Ced Cox regression model#29 for the six matching methods.... ..."

Cited by 2

### Table 1: confidence stability tests based on a contingency table for the rule X fi Y in the two time periods T1 and T2

"... In PAGE 2: ...e., they are homogeneous respective a Chi- Square test (see Table1 ). The aim of rule reduction is achieved by presenting only stable rules which can be trusted in the future to the user.... In PAGE 5: ... With the mean value mi for the continuous-valued attribute A in the partition Di it is defined by: ( ) ( ) ( ) ( ) ( )2 2 1 2 1 2 1 2 1 2 1 | | | | | | , , , , , , m m D D D T D D Contrast D Ent T D D Contrast T D D CE - = = 4. At the Chi-Square method a contingency table (see Table1 ) is built for each boundary point. The partitioning with the highest significance level (tested with Chi-Square) is chosen.... ..."

### Table 2.2 Cointegration with restricted intercepts and no trends in the VAR Cointegration LR Test Based on Maximal Eigenvalue of the Stochastic Matrix 25 observations from 1981 to 2005. Order of VAR = 1.

in Members

"... In PAGE 17: ... While the differences between the farm and the non-farm sectors come up fairly clearly, there is much that needs to be explored further within the vastly heterogeneous non-farm sector. Table2 moves one step forward in that direction and informs us of the educational background of workers engaged in the nine broad sectors of the Indian economy. As in Table 1, here too, a three-layered educational classification of workers (non-iterate, semi-educated and educated) is adopted.... In PAGE 17: ... Again, the picture relates to the aggregate of workers; male-female and rural-urban differences are not considered. Table2 throws up many interesting insights about the non-farm sectors. First, the proportion of non-literate workers has witnessed a varying degree of decline, first between 1983 and 1993-94, and then between 1993-94 and 2004-05, in each sector of the Indian economy, including agriculture.... In PAGE 122: ... Here, we use FDI as the dependent variable and the seven variables (GDP, Openness, Debt/ GDP ratio, Foreign Exchange Reserves, REER, DTSER/Export and Infra/GDP) as the independent predictor variables. Table2 depicts the summary results of multiple regression model and F ratios were found significant at one per cent level in all the five models, which implies the existence of linear relationship between the independent variables and foreign direct investment (FDI) inflows in India. Hence, there is a strong evidence of a linear relationship between FDI and economic variables.... In PAGE 124: ...997 0.000 Predictors:(constant) GDP, openness, DEBT/GDP, FOREX, REER, 1 DTSER/ Export, Infrastructure Predictors:(constant) GDP, openness, DEBT/GDP, FOREX, REER, 2 Infrastructure 3 Predictors:(constant) GDP, openness, FOREX, REER, Infrastructure 4 Predictors:(constant) GDP, FOREX, REER, Infrastructure 5 Predictors:(constant) GDP, FOREX, REER 6 Dependent Variable: FDI Inflows in India Table2 offers that the values of Adjusted Coefficient of determination (R2) and R2 without adjustment are above 0.... ..."

### Table 2.3 Cointegration with restricted intercepts and no trends in the VAR Cointegration LR Test Based on Trace of the Stochastic Matrix 25 observations from 1981 to 2005. Order of VAR = 1.

in Members

"... In PAGE 17: ... While the differences between the farm and the non-farm sectors come up fairly clearly, there is much that needs to be explored further within the vastly heterogeneous non-farm sector. Table2 moves one step forward in that direction and informs us of the educational background of workers engaged in the nine broad sectors of the Indian economy. As in Table 1, here too, a three-layered educational classification of workers (non-iterate, semi-educated and educated) is adopted.... In PAGE 17: ... Again, the picture relates to the aggregate of workers; male-female and rural-urban differences are not considered. Table2 throws up many interesting insights about the non-farm sectors. First, the proportion of non-literate workers has witnessed a varying degree of decline, first between 1983 and 1993-94, and then between 1993-94 and 2004-05, in each sector of the Indian economy, including agriculture.... In PAGE 122: ... Here, we use FDI as the dependent variable and the seven variables (GDP, Openness, Debt/ GDP ratio, Foreign Exchange Reserves, REER, DTSER/Export and Infra/GDP) as the independent predictor variables. Table2 depicts the summary results of multiple regression model and F ratios were found significant at one per cent level in all the five models, which implies the existence of linear relationship between the independent variables and foreign direct investment (FDI) inflows in India. Hence, there is a strong evidence of a linear relationship between FDI and economic variables.... In PAGE 124: ...997 0.000 Predictors:(constant) GDP, openness, DEBT/GDP, FOREX, REER, 1 DTSER/ Export, Infrastructure Predictors:(constant) GDP, openness, DEBT/GDP, FOREX, REER, 2 Infrastructure 3 Predictors:(constant) GDP, openness, FOREX, REER, Infrastructure 4 Predictors:(constant) GDP, FOREX, REER, Infrastructure 5 Predictors:(constant) GDP, FOREX, REER 6 Dependent Variable: FDI Inflows in India Table2 offers that the values of Adjusted Coefficient of determination (R2) and R2 without adjustment are above 0.... ..."

### Table 4 Rejected Specification Tests of Base Model

"... In PAGE 15: ... Nevertheless, some direction for future work could be gained by estimating the base model. The diagnostic test results are presented in Table4 . We find that in no cases does the test fail to reject the assumptions of the model.... ..."

### Table 2. Pitman ARE of the test based on Lc n with respect to the test based on Vc for several alternative distributions. Distribution

"... In PAGE 6: ...The values in Table2 indicate that the test based on Lc n compares favorably with the test based on Vc when the sample is slightly cen- sored. In the case of no censoring, the values in the table are the same as the values in Aly [6].... ..."

### Table 6: Asset classes used in testing the base model.

"... In PAGE 53: ...Asset classes The asset classes used in testing the base model are given in Table6 . They consist of bond indices for short, medium and long-term debt of the Italian government, and stock indices of the major industrial sectors traded in the... ..."

### Table 4: CPU times for admission tests based on histogram with varying resolution.

1997

"... In PAGE 20: ... Figure 8 shows the number of admissible Star Wars connections computed with varying resolutions (binsizes) for the Star Wars histogram. Table4 gives the typical CPU times required for an admission test. All computations are performed on a Sun SPARCstation 2.... ..."

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### Table 4: CPU times for admission tests based on histogram with varying resolution.

1997

Cited by 18

### Table 2. T-tests of base cases vs. treatments.

2004

Cited by 7