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Our results are based on regression equations in which other influences, such as demographic variables and income, are held constant.
Given the range of uncertainties in the independent variables, cumulative distribution functions (CDFs) and uncertainty bounds (5th and 95th percentiles) of output responses were estimated based on regression equations and Monte Carlo sampling.
The LSS from literature studied were based on regression equations or on Bayesian fitting using MWPHARM 3.50 (Mediware, Groningen, the Netherlands).
For calculation of the cost-effectiveness, estimates of QOL scores for determination of QALYs were based on regression equations with the pain NRS scores, age, and sex as independent variables.
The estimated slopes of the linear regression were quite steep, with an increase in crop genome from 20%to30%0% predicted to result in a reduction of 2271 seeds and 4699 seeds for SB and WG respectively (based on regression equations).
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The finding that the whole tree BEF-based biomass estimate was 8.3%% lower, with slightly larger percent error than that based on regression equation is in line with the finding by Jalkanen et al. (2005), which found that BEF-based AGB estimate was 6.7%% lower.
Based on regression analysis, predictive equations were derived and the findings were compared with those presented in Moyers' probability tables, and Tanaka and Johnston's equations.
This investigation surveys nine econometric assessments that are relevant to the development of bioenergy, including those based on regression, time-series models, simultaneous equations, input-output model, linear/nonlinear programming model, computable general equilibrium models, engineering economics, data envelopment analysis, and the integrated assessment model.
The expected values were obtained using the polynomial equations model, based on regression coefficient findings.
The equivalent thickness calculation equation is based on regression analysis of a large number of finite element simulation results of elastic local buckling strength of perforated plates under compression, considering the effects of a number of different design variables such as plate depth, thickness, perforation patterns and dimensions of the plate.
This equation was based on regression of 10-years SDS on those at 5 years in the subgroup of 508 children with both measurements available: 10-years SDS = 0.006 + (0.832 × 5-years SDS); explained variance R2 = 0.58.
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