Table 10 Bootstrapping results of the model predictor of the selected model—Model II—10 m radius plot.

From: Estimating above-ground biomass of subtropical forest using airborne LiDAR in Hong Kong

Model predictor

Unstandardized beta coefficient

Bootstrap

Bias

Std. error

Sig. (2-tailed)a

BCa 95% Confidence

Lower

Upper

(Constant)

5.961

 − 0.011

0.145

0.001

5.725

6.163

CCFb

0.013

0.000

0.003

0.001

0.007

0.017

P95b

0.134

0.004

0.035

0.001

0.065

0.254

MADmodeb

 − 0.279

0.004

0.094

0.006

 − 0.462

 − 0.087

  1. aThe bootstrap beta coefficient is significant at 0.05 level.
  2. bCCF: Canopy cover by first returns above 3.66 m (CCF), 95th Height Percentile (P95) and median of absolute deviation from mode (MADmode). The bootstrapping test on the model bias showed that there was minimal level of bias (bias < 0.005).
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