From: Hierarchical model-based inference for forest inventory utilizing three sources of information
Case | \(\overline {\widehat {E(\mu )}}\), [ m 3 h a −1] | \(\overline {\widehat {V}}_{OLS}\Big [\widehat {E(\mu )}\Big ]\) | \(\overline {\widehat {V}}_{HC}\Big [\widehat {E(\mu )}\Big ]\) | \(MSE_{emp}\Big [\widehat {E(\mu )}\Big ]\) | \(V_{emp}\Big [\widehat {E(\mu )}\Big ]\) | \(\widehat {RelBIAS}_{(OLS)}\), | \(\widehat {RelBIAS}_{(HC)}\), | |
---|---|---|---|---|---|---|---|---|
[%] | [%] | |||||||
m=50 g r i d c e l l s, M=500 g r i d c e l l s | ||||||||
A | 102.96 | 159.05 | 156.97 | 157.43 | 155.72 | 2.14 | 0.80 | |
B | 104.74 | 47.74 | 49.05 | 53.12 | 52.90 | -9.77 | -7.28 | |
C | C.1 | 104.65 | 43.48 | 44.56 | 48.37 | 48.23 | -9.84 | -7.60 |
C.2 | 43.73 | 44.99 | -9.33 | -6.72 | ||||
C.3 | 13.46 | 13.46 | -72.08 | -72.08 | ||||
m=100 g r i d c e l l s, M=1000 g r i d c e l l s | ||||||||
A | 103.68 | 76.78 | 76.27 | 75.67 | 75.33 | 1.93 | 1.25 | |
B | 104.54 | 23.82 | 24.37 | 25.15 | 25.07 | -5.00 | -2.80 | |
C | C.1 | 104.48 | 21.69 | 22.16 | 22.69 | 22.64 | -4.19 | -2.15 |
C.2 | 21.75 | 22.27 | -3.92 | -1.61 | ||||
C.3 | 6.54 | 6.54 | -71.12 | -71.12 | ||||
m=500 g r i d c e l l s, M=5000 g r i d c e l l s | ||||||||
A | 104.13 | 15.01 | 14.99 | 14.98 | 14.96 | 0.32 | 0.20 | |
B | 104.30 | 4.75 | 4.78 | 4.80 | 4.80 | -1.12 | -0.46 | |
C | C.1 | 104.29 | 4.32 | 4.35 | 4.31 | 4.31 | 0.28 | 0.92 |
C.2 | 4.33 | 4.36 | 0.33 | 1.05 | ||||
C.3 | 1.27 | 1.27 | -70.43 | -70.43 | ||||
m=1000 g r i d c e l l s, M=10000 g r i d c e l l s | ||||||||
A | 104.21 | 7.48 | 7.48 | 7.44 | 7.44 | 0.60 | 0.53 | |
B | 104.30 | 2.38 | 2.39 | 2.41 | 2.41 | -1.36 | -0.95 | |
C | C.1 | 104.29 | 2.17 | 2.17 | 2.17 | 2.17 | -0.12 | 0.29 |
C.2 | 2.17 | 2.18 | -0.09 | 0.36 | ||||
C.3 | 0.64 | 0.64 | -70.69 | -70.69 |