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Table 4

Parameter estimates for the rainfall based best fitted candidate function for stemflow

Tree species	Name of the function	Functional form	Parameter estimates			Adjusted R²	RMSE, mm	AIC
Tree species	Name of the function	Functional form	a	b	c	Adjusted R²	RMSE, mm	AIC
Mango	Weibull	Y = [a–b × exp (−c × X)] + ɛ	0.521	0.542	−0.032	0.774	0.065	−74.47
Litchi	Logistic	Y = a/1 + exp (c–b × X) + ɛ	0.247	2.910	−0.219	0.819	0.040	−121.7
Guava	Allometric	Y = a × X^b + ɛ	0.045	0.765	–	0.743	0.132	−5.55
Jackfruit	Exponential	Y = a × [1 − exp (−b × X)] + ɛ	0.420	−0.012	–	0.812	0.025	−168.6

Tree species	Name of the function	Functional form	Parameter estimates			Adjusted R²	RMSE, mm	AIC
Tree species	Name of the function	Functional form	a	b	c	Adjusted R²	RMSE, mm	AIC
Mango	Weibull	Y = [a–b × exp (−c × X)] + ɛ	0.521	0.542	−0.032	0.774	0.065	−74.47
Litchi	Logistic	Y = a/1 + exp (c–b × X) + ɛ	0.247	2.910	−0.219	0.819	0.040	−121.7
Guava	Allometric	Y = a × X^b + ɛ	0.045	0.765	–	0.743	0.132	−5.55
Jackfruit	Exponential	Y = a × [1 − exp (−b × X)] + ɛ	0.420	−0.012	–	0.812	0.025	−168.6

Y, Dependent growth variable; X, independent growth variable; a, b and c are parameter estimates and ɛ is the additive error term.

AIC, Akaike information criteria; RMSE, root mean squared error.