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Table 2 Coefficient estimates (fixed + random effects) of the nonlinear mixed effect model (Eq. 8) for estimating minimum sample size requirements for the scenario with 10% added bias by selection method and plot type. (Sample selection methods: SRS = simple random sampling, SYS = systematic sampling, SOL = systematic ordered-list sampling, 3P = sampling with probability proportional to prediction, LIST = list sampling. Plot types: FAP = fixed area plot, 3PN = fixed area plot with 3P subsampling of measured trees, HPS = horizontal point sample, BBAF = big BAF sampling)

From: Sample strategies for bias correction of regional LiDAR-assisted forest inventory Estimates on small woodlots

Selection method

b0

b1 (Plot type)

FAP

3PN

HPS

BBAF

SRS

22.4523

0.3867

0.3976

0.3445

0.3629

SYS

22.5925

0.3879

0.4011

0.3480

0.3654

SOL

32.8344

0.4657

0.4741

0.4395

0.4536

3P

21.9240

0.4479

0.4686

0.3780

0.4043

LIST

25.6546

0.5039

0.5238

0.4337

0.4600