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Table 2. Improvement using Combined Data Sample Data Only (region) Combined Data (sub-regions) (2) (3) (4) (5)

in Micro-Level Estimation of Poverty and Inequality
by Chris Elbers, Chris Elbers, De Boelelaan, Peter Lanjouw, Jean O. Lanjouw, Peter Lanjouw, Peter Lanjouw, Andrew Chesher, Denis Cogneau, Angus Deaton, Jean-yves Duclos, Francisco Ferriera, Jesko Hentschel, Michiel Keyzer, Steven Ludlow, Berk Ozler, Giovanna Prennushi, Martin Ravaillion, Piet Rietveld, John Rust, Chris Udry For Comments
"... In PAGE 13: ... Most users of welfare indicators rely, by necessity, on sample-survey based estimates. Table2 demon- strates how much is gained by combining data sources. The second column gives the sampling errors on headcount measures estimated for each region using the survey data alone (taking account of sample design).... ..."

Table 3: Sub-regions and the associated AUs

in Facial Expression Analysis on Manifolds
by Ya Chang 2006
"... In PAGE 16: ...inear/nonlinear alignment. ................................................................................46 Table3 : Sub-regions and the associated AUs.... ..."

Table 4: Research and Development Capacities in Sub-Regions

in unknown title
by unknown authors 2007
"... In PAGE 13: ...4% of their GDP on research. Table4 shows a profile of different sub-regions in terms of research and development. ... ..."

Table 4. DEA1 Average by Countries and Sub-regions

in Determinants of Commercial Bank Performance in Transition: An Application of Data Envelopment Analysis
by David A. Grigorian, Vlad Manole, Oleh Havrylyshyn, Roberto Rocha

Table 5. DEA2 Average by Countries and Sub-regions

in Determinants of Commercial Bank Performance in Transition: An Application of Data Envelopment Analysis
by David A. Grigorian, Vlad Manole, Oleh Havrylyshyn, Roberto Rocha

Table 2: Education and Research Indices in Sub-Regions

in unknown title
by unknown authors 2007
"... In PAGE 12: ...ith indices of 0.83, 0.77 and 0.68 respectively. Table2 displays the computed education and ... ..."

Table 7 Difference between sub-region price and commune price Sub-region

in Spatial Integration at Multiple Scales: Rice Markets in Madagascar *
by Christine Moser, Christopher B. Barrett, Bart Minten 2006
"... In PAGE 24: ... If interseasonal flow reversals do take place, and, letting i be the rice-producing rural commune and j the relevant nearby town, we would expect rit-rjt lt;0 at harvest and rit-rjt gt;0 in at least one post-harvest period. Inter-commune rice price differences do indeed change sign in precisely this manner for a large number of communes, as shown in Table7 and Figure 3. During the harvest period 59 (69) percent of communes have a lower price than their sub-regional (regional) urban counterparts, but this percentage falls with each subsequent quarter.... ..."

Table 2: Data Accuracy Level Probability Distribution Observed Data accuracy level probabilities Sub-region

in Robustness Analysis at the Technical Level of Situation Assessment
by Xuezhi Wang Gavin, Gavin Thoms
"... In PAGE 4: ...g., Table2 . It turns out that for the example illustrated in Figure 8, the measurement space for computing (3) is the set of indexes of all sub-regions fA1; A2; ; Ang.... ..."

Table 5 Results and comparisons of change maps based on the unsupervised and MOLA classifications summarized in three ways: a) change in the percentage of 5-km pixels in each land-cover type, b) change in percentage of land-cover types over sub-regions, and c) change in land-cover percentages over states

in statistical summaries and
by Kathleen M. Bergen A, Daniel G. Brown A, James F. Rutherford A, Eric J. Gustafson B 2005
"... In PAGE 11: ...assessment of the change information indicates that the MOLA classification improved on the unsupervised approach in every test ( Table5 ). The RMSEs can be interpreted as the error in the estimated change in percentages within the 5-km pixels.... ..."

Table 5 Explaining regime incidence at the sub-regional level Multinomial logit

in Spatial Integration at Multiple Scales: Rice Markets in Madagascar *
by Christine Moser, Christopher B. Barrett, Bart Minten 2006
"... In PAGE 16: ... We can try to explain the incidence of the various regimes by using a multinomial logit model with the dependent variable taking on values 1, 2, or 3, corresponding to the regime we predict the commune falls into in that period according to the PBM estimates.10 For brevity, we include the results for the sub-regional level only ( Table5 ); results at the more aggregate level are similar and available by request. Regime 1 (tradable competitive equilibrium) is the comparison group.... ..."
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