A flexible regression model for diameter prediction

European Journal of Forest Research

Volumn 127, Issue 5, 2008, Pages 415-428

  Kublin, Edgar ^a   Augustin, Nicole Helene ^b   Lappi, Juha ^c  

^a Forstliche Versuchs und Forschungsanstalt Baden Wudie rttemberg   (Germany)

^b University of Bath   (United Kingdom)

^c FINNISH FOREST RESEARCH INSTITUTE   (Finland)

Author keywords

Calibration; Covariance function; Functional principal component analysis; Multivariate regression splines; Multivariate spline smoothing; Variable coefficient model

Indexed keywords

CALIBRATION; COVARIANCE ANALYSIS; EIGENVALUE; FOREST INVENTORY; PREDICTION; PRINCIPAL COMPONENT ANALYSIS; REGRESSION ANALYSIS; STEM; TREE;

CENTRAL EUROPE; EURASIA; EUROPE; GERMANY;

EID: 51649108479     PISSN: 16124669     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10342-008-0225-7     Document Type: Article

References (15)

1. Cressie N (1991) Statistics for spatial data. Probability and mathematical statistics. Wiley, New York, 900 pp
2. Dierckx P (1993) Curve and surface fitting with splines. Monographs on numerical analysis. Oxford Science Publications. Clarendon Press, Oxford, pp 285
3. Gregoire TG, Schabenberger O, Kong F (2000) Prediction from an integrated regression equation: A forestry application. Biometrics 56:414-419. doi: 10.1111/j.0006-341X.2000.00414.x
4. Hradetzky J (1980) Spline Funktionen und ihre Anwendung in der forstlichen Forschung. Forstwissenschaftliches Centralblatt 100(1):45-59. doi: 10.1007/BF02640618
5. Kublin E (2003) Einheitliche Beschreibung der Schaftform - Methoden und Programme - BDATPro. Forstw Cbl 122(3):183-200. doi: 10.1046/ j.1439-0337.2003.00183.x
6. Lappi J (2006) A multivariate, nonparametric stem-curve prediction method. Can J For Res 36(4):1017-1027. doi: 10.1139/X05-305
7. Mardia KV, Kent JT, Bibby JM (1979) Multivariate analysis. Academic Press, London
8. Max TA, Burkhart HE (1976) Segmented polynomial regression applied to taper equations. For Sci 22(3):283-289
9. Pollanschütz J (1965) Eine neue Methode der Formzahl- und Massenbestimmung stehender Stämme. (Neue Form- bzw. Kubierungsfunktion und ihre Anwendung). Dissertation Thesis, Hochschule für Bodenkultur Wien, Wien: Forstliche Bundesversuchsanstalt, pp 168
10. Rojo A, Perales X, Sanchez-Rodriguez F, Alvarez-Gonzalez JG, v Gadow K (2005) Stem taper functions for maritime pine (Pinus pinaster Ait.) in Galicia (Northwestern Spain). Eur J For Res 124(3):177-186. doi: 10.1007/ s10342-005-0066-6
11. Sloboda B, Gaffrey D, Matsumura N (1998) Presentation of tree individual taper curves and their dynamics by spline functions and generalization by linear taper curve models. Allg Forst Jagdzeitung 169(2):29-39
12. Trincado G, Burkhart HE (2006) A generalized approach for modeling and localizing stem profile curves. For Sci 52(6):670-682
13. Wood SN (2006) Generalized additive models: An introduction with R. Texts in Statistical Science Series, 67. Chapman & Hall, CRC, pp 416
14. Yao F, Muller HG, Wang JL (2005) Functional data analysis for sparse longitudinal data. J Am Stat Assoc 100(470):577-590. doi: 10.1198/ 016214504000001745
15. Zhang YJ, Borders BE, Bailey RL (2002) Derivation, fitting, and implication of a compatible stem taper-volume-weight system for intensively managed, fast growing loblolly pine. For Sci 48(3):595-607