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Table 3 and Fig. 4 shows the estimates of missing values by linear spline interpolation and linear regression estimation methods.
Table 2 and Fig. 3 shows the estimates of missing values by linear interpolation, linear spline interpolation and regression estimation methods.
Table 11a shows the estimates for the various expenditures.
The line shows the estimates with linear restrictions imposed on the coefficients.
Table 6 shows the estimates of local mode 1, local mode 5, and inter-area mode.
Table 1 shows the estimates of the coefficient δ, i.e., the public sector pay gap.
Figure 7a shows the estimates of the sample eigenvalue distribution for the first setting.
Table 2 shows the estimates for delay between accident occurrence and notification of the emergency response centre.
Right panel of Fig. 7 shows the estimates of the permanent component of total factor productivity growth.
Table 3 shows the estimates obtained from a series of linear probability models, using data collected at the individual level.
Figure 1 shows the estimates of the thresholds corresponding to items 4 (Fig. 1a) and 5 (Fig. 1b).
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CEO of Professional Science Editing for Scientists @ prosciediting.com