Table 3. Parameter estimates and 95% credible and confidence intervals of each component biomass model based on Bayesian method and MLS method.

Attributes	Stem	Branch	Foliage	Root	Total
Bayesian with informative prior
α	−2.8305	−4.7061	−4.0269	−3.8680	−1.9488
	(−3.4976, −2.1275)	(−6.4565, −2.7886)	(−5.9187, −2.1755)	(−4.5988, −3.1633)	(−2.4496, −1.4794)
b	0.8067	0.7101	0.6441	0.7839	0.7493
	(0.7195, 0.8952)	(0.4562, 0.9291)	(0.4116, 0.8877)	(0.6944, 0.8782)	(0.6889, 0.8141)
Bayesian with non-informative prior
α	−2.5721	−4.4901	−3.8780	−3.8516	−1.9500
	(−3.2987, −1.7868)	(−6.4075, −2.5373)	(−5.7382, −1.9090)	(−4.5875, −3.1354)	(−2.5230, −1.3568)
b	0.7734	0.6823	0.6242	0.7817	0.7489
	(0.6705, 0.8661)	(0.4339, 0.9363)	(0.3547, 0.8540)	(0.6864, 0.8736)	(0.6728, 0.8235)
MLS
α	−2.5667	−4.4890	−3.8892	−3.8546	−1.9492
	(−3.3335, −1.7998)	(−6.4429, −2.5351)	(−5.8329, −1.9456)	(−4.5937, −3.1156)	(−2.5307, −1.3678)
b	0.7725	0.6819	0.6257	0.7823	0.7489
	(0.6737, 0.8713)	(0.4302, 0.9336)	(0.3753, 0.8761)	(0.6871, 0.8775)	(0.6740, 0.8238)