### Table 9--Elasticity estimates from the different models

"... In PAGE 21: ... Because these four models are non-nested rationalizations of the s ame data, some divergence exists in t he elasticity estimates across the four models, with those from t he log-infrequency of purch ase model the most plausible. The last row of Table9 gives the sample me an of the elasticity of postal services demand with respect to the probability of compute r own ership. For the log-infrequency model, this mean elasticity implies that increases in th e p robability computer owners hip bring about reductions in the demand for postal delivery services at the household-level.... ..."

### Table 1. Computational data for the problem of tracer injection on random heterogeneous media.

"... In PAGE 8: ... Therefore, the pressure equation solution and velocity post-processing were performed just once, and only the concentration equation was actually solved at each time step. Table1 summarizes the main computational data for this analysis.... ..."

### Table 1 EIES data: average estimates of afii9797parenleftBig afii9835parenrightBig

2006

"... In PAGE 10: ... Here, L = 2 and n = 32, which are very small values: in practice, it is frequently the case that L gt;10 and n gt;50 (in fact, n may be in the hundreds), and then computation time is an issue and the computational advantage of DI, DII, and DIII over D0(afii9830) is appreciated. The average estimates of the Jacobian matrix afii9797 parenleftBig afii9835 parenrightBig are presented in Table1 . The average estimate of afii9797 parenleftBig afii9835 parenrightBig based on the biased estimator D0(.... ..."

### Table 3: Share of Intra-Industry Trade in Intra-EC Trade (as percentage of total intra-EC trade)

### Table 5: Compute time in CPU seconds objects atts AODE NB TAN LBR J48

2002

"... In PAGE 5: ... 6.2 Relative Compute Time Table5 presents the total compute time of each algorithm by data set. These times are the total time to run Weka to complete the cross-validation task and hence include data input as well as learning and classification.... ..."

Cited by 7

### Table 4. Data from atomic absorption spectrometry

"... In PAGE 4: ... The program PROGRESS^ was obtained from Rousseeuw and Leroy. Results and Discussion Real data from atomic absorption spectrometry obtained for biomedical research (see Table4 ) were analysed using LS, SM, RM and LMS. Some of these calibration data did not contain outliers.... In PAGE 6: ... . 3 * See Table4 for complete calibration data. i See Table 5 for the outlier(s) rejected by the modified LMS method.... In PAGE 7: ... The results of this approach for the analysis of some samples are given in Table 6. Prediction of the concentration is performed by means of LS with the calibration data from Table4 . Calibration with the complete data set is compared with the calibration after the rejection of the outlier(s), which is based on the modified LMS method.... ..."

### Table 1. Inequality in heterogeneous computing platforms.

"... In PAGE 1: ... While distributed computing platform research usually focuses on platforms with roughly equivalent computing com- ponents, P2P computing emphasizes the heterogeneity in uptime, computing capa- bilities, and connectivity bandwidths between peers. This diversity will only increase as the infrastructure accommo- dates wireless connections and devices such as personal digital assistants, tablets, compact media players, and cell phones (see Table1 , next page). In this article, we present an architec- ture and resource management and adap- tation framework that transcends existing infrastructures to accommodate and accel- erate multimedia peer applications and services.... ..."

### Table 2 Specifications of the Eleven Heterogeneous Computers Machine

"... In PAGE 12: ... 5.2 Applications A small heterogeneous local network of 11 different Solaris and Linux workstations shown in Table2 is used in the experiments. The network is based on 100 Mbit Ethernet with a switch enabling parallel communications between the computers.... In PAGE 15: ... 7. Determination of a set with relatively few points used to build the speed functions of the processors X2-X5 whose specifications are shown in Table2 . As few as 6 points and 5 points are used to build an efficient speed function for matrix multiplication and LU factorization respectively with deviation approximately 5% from other speed functions built with more number of points.... In PAGE 15: ... Though the absolute speed must be obtained by multiplication of two dense non-square matrices, we observed that our serial version gives almost the same speeds for multiplication of two dense square matrices if the number of elements in a dense non-square matrix is the same as the number of elements in a dense square matrix. This is illustrated in Table 3 for computers X2-X5 whose specifications are shown in Table2 . Thus speed functions of the processors built using dense square matrices will be the same as those built using dense non-square matrices.... In PAGE 17: ... However allocation of a task to these computers, the size of which is greater than 36000000 and 81000000 for matrix-matrix multiplication and LU factorization respectively, will result in severe performance degradation of the parallel application. For each of these two applications, the largest problem size that can be solved on the network of heterogeneous networks shown in Table2 is just the sum of the largest sizes of the tasks that can be solved on each computer. There are three important issues in selecting a set of points to build a speed function of a processor: 1.... In PAGE 18: ... Speeds of the processors are assumed to be zero for problem sizes beyond their upper bounds. multiplication obtained using three sets of 6, 7, and 8 points and speed functions for LU factorization obtained using three sets of 5, 7, and 8 points for the computers X2-X5 whose specifications are shown in Table2 . It can be seen that 6 points and 5 points are enough to build an efficient speed function that fall within acceptable limits of deviation for matrix multiplication and LU factorization respectively.... ..."

### Table A.II. Performance of Long-Running Benchmarks

1996

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### Table 4 Fisher Test of Ho: There is a common unit root vs Ha: At least one series is stationary No Intercept, No Trend in ADF Specifications All variables are real (deflated by GDP deflator) and measured per capita in logarithms PA 0.0474 0.2258 0.0038 0.1836

2001

"... In PAGE 12: ... In this formulation the coefficient on housing market wealth is significant in all specifications, while the coefficient of financial wealth is essentially zero. Table4 presents tests for the presence of unit roots in the time series data we analyze. For most, but not all, of the state series we can reject the hypothesis of unit roots in the data.... In PAGE 13: ... The housing market appears to be more important than the stock market in influencing consumption in developed countries. 8 The specific test we report in Table4 uses a model with no intercept and no trend in conducting the augmented Dickey-Fuller (ADF) tests. The table also relies upon a four-quarter lag for the state panel, and a one-year lag for the country panel.... ..."

Cited by 2