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Table 5

Parameter estimates for the rainfall-based best fitted candidate function for throughfall

Tree speciesName of the functionFunctional formParameter estimates
R2RMSE, mmAIC
abc
Mango Weibull Y = [ab × exp (−c × X)] + ɛ −213.278 211.674 0.0041 0.993 1.078 178.3 
Litchi Allometric Y = a × Xb + ɛ 0.462 1.193 – 0.943 3.087 281.1 
Guava Linear Y = a + b × X + ɛ −1.221 1.004 – 0.987 1.459 207.6 
Jackfruit Linear Y = a + b × X + ɛ −1.691 0.904 – 0.980 1.683 220.0 
Tree speciesName of the functionFunctional formParameter estimates
R2RMSE, mmAIC
abc
Mango Weibull Y = [ab × exp (−c × X)] + ɛ −213.278 211.674 0.0041 0.993 1.078 178.3 
Litchi Allometric Y = a × Xb + ɛ 0.462 1.193 – 0.943 3.087 281.1 
Guava Linear Y = a + b × X + ɛ −1.221 1.004 – 0.987 1.459 207.6 
Jackfruit Linear Y = a + b × X + ɛ −1.691 0.904 – 0.980 1.683 220.0 

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.

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