TABLE 5 Open in new tab Norway spruce... | Oxford Academic

TABLE 5

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Norway spruce dataset results

	Parameter	Estimate	95% CI
Intercept	$β_{0}$	$- 1.88$	$(- 2.57, - 1.19)$
Short-range coefficient	$α$	$- 5.18$	$(- 6.92, - 3.43)$
Medium-range coefficient	$γ$	0.14	$(0.05, 0.23)$
Short-range radius	$R^{S}$	2.41	$∖$
Medium-range radius	$R^{M}$	16.40	$∖$
Long-range radius	$R^{L}$	24.43	$∖$
Short-range shape	$φ_{R^{S}}$	Exponential	$∖$
Medium-range shape	$ψ_{R^{M} \leftrightarrow R^{L}}$	Geyer	$∖$
Saturation	$N$	6	$∖$

	Parameter	Estimate	95% CI
Intercept	$β_{0}$	$- 1.88$	$(- 2.57, - 1.19)$
Short-range coefficient	$α$	$- 5.18$	$(- 6.92, - 3.43)$
Medium-range coefficient	$γ$	0.14	$(0.05, 0.23)$
Short-range radius	$R^{S}$	2.41	$∖$
Medium-range radius	$R^{M}$	16.40	$∖$
Long-range radius	$R^{L}$	24.43	$∖$
Short-range shape	$φ_{R^{S}}$	Exponential	$∖$
Medium-range shape	$ψ_{R^{M} \leftrightarrow R^{L}}$	Geyer	$∖$
Saturation	$N$	6	$∖$

Notes: We do not give the 95% confidence intervals for the parameters fitted by the ad hoc pseudo-likelihood maximisation. The other confidence intervals are produced by the method outlined in Section 3.2.

TABLE 5

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Norway spruce dataset results

	Parameter	Estimate	95% CI
Intercept	$β_{0}$	$- 1.88$	$(- 2.57, - 1.19)$
Short-range coefficient	$α$	$- 5.18$	$(- 6.92, - 3.43)$
Medium-range coefficient	$γ$	0.14	$(0.05, 0.23)$
Short-range radius	$R^{S}$	2.41	$∖$
Medium-range radius	$R^{M}$	16.40	$∖$
Long-range radius	$R^{L}$	24.43	$∖$
Short-range shape	$φ_{R^{S}}$	Exponential	$∖$
Medium-range shape	$ψ_{R^{M} \leftrightarrow R^{L}}$	Geyer	$∖$
Saturation	$N$	6	$∖$

	Parameter	Estimate	95% CI
Intercept	$β_{0}$	$- 1.88$	$(- 2.57, - 1.19)$
Short-range coefficient	$α$	$- 5.18$	$(- 6.92, - 3.43)$
Medium-range coefficient	$γ$	0.14	$(0.05, 0.23)$
Short-range radius	$R^{S}$	2.41	$∖$
Medium-range radius	$R^{M}$	16.40	$∖$
Long-range radius	$R^{L}$	24.43	$∖$
Short-range shape	$φ_{R^{S}}$	Exponential	$∖$
Medium-range shape	$ψ_{R^{M} \leftrightarrow R^{L}}$	Geyer	$∖$
Saturation	$N$	6	$∖$

Notes: We do not give the 95% confidence intervals for the parameters fitted by the ad hoc pseudo-likelihood maximisation. The other confidence intervals are produced by the method outlined in Section 3.2.