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Table 7 Maximum likelihood estimates for parameters β and α in Eq. (5). This fit considers heteroscedasticity (γ1 ≠ 0) or homoscedasticity (γ1 = 0)

From: On the suitability of an allometric proxy for nondestructive estimation of average leaf dry weight in eelgrass shoots I: sensitivity analysis and examination of the influences of data quality, analysis method, and sample size on precision

Parameters Estimate Std. Error Confidence Interval (95%)
Homoscedastic model
 α 1.104 5.101 × 10−3 (1.094,  1.114)
 β 8.718 × 10−6 3.530 × 10−7 (8.052 × 10−6, 9.433 × 10−6)
Heteroscedastic model
 α 1.107 6.116 × 10−3 (1.095,  1.119)
 β 8.477 × 10−6 3.950 × 10−7 (7.703 × 10−6, 9.251 × 10−6)