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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)