scholarly journals SEMIPARAMETRIC PENALIZED SPLINE REGRESSION

2012 ◽  
Vol 44 ◽  
pp. 65-86
Author(s):  
Takuma Yoshida ◽  
Kanta Naito
Keyword(s):  
Spline Regression ◽  
Penalized Spline ◽  
Penalized Spline Regression

scholarly journals A Taper Equation for Loblolly Pine Using Penalized Spline Regression

2021 ◽  
Vol 67 (1) ◽  
pp. 1-13
Author(s):  
Mauricio Zapata-Cuartas ◽  
Bronson P Bullock ◽  
Cristian R Montes
Keyword(s):  
Loblolly Pine ◽  
A Priori ◽  
Tree Height ◽  
Wood Products ◽  
Spline Regression ◽  
Tree Form ◽  
Penalized Spline ◽  
Taper Equation ◽  
Penalized Spline Regression ◽  
Taper Equations

Abstract Stem profile needs to be modeled with an accurate taper equation to produce reliable tree volume assessments. We propose a semiparametric method where few a priori functional form assumptions or parametric specification are required. We compared the diameter and volume predictions of a penalized spline regression (P-spline), P-spline extended with an additive dbh-class variable, and six alternative parametric taper equations including single, segmented, and variable-exponent equation forms. We used taper data from 147 loblolly pine (Pinus taeda L.) trees to fit the models and make comparisons. Here we show that the extended P-spline outperforms the parametric taper equations when used to predict outside bark diameter in the lower portion of the stem, up to 40% of the tree height where the more valuable wood products (62% of the total outside bark volume) are located. For volume, both P-spline models perform equal or better than the best parametric model, with taper calibration, which could result in possible savings on inventory costs by not requiring an additional measurement. Our findings suggest that assuming a priori fixed form in taper models imposes restrictions that fail to explain the tree form adequately compared with the proposed P-spline.

scholarly journals Nonparametric Small Area Estimation Using Penalized Spline Regression

2005 ◽  
Author(s):  
J. D. Opsomer ◽  
Gerda Claeskens ◽  
M. Giovanna Ranalli ◽  
Göran Kauermann ◽  
F. J. Breidt
Keyword(s):  
Small Area ◽  
Small Area Estimation ◽  
Spline Regression ◽  
Area Estimation ◽  
Penalized Spline ◽  
Penalized Spline Regression
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