Effects of sample size and tree selection criteria on the performance of taper equations

References

• Avery , T. E. & Burkhart , H. E. 2002 . Forest measurements , 456 p. New York, NY : McGraw-Hill .
   Google Scholar
• Bi , H. 2000 . Trigonometric variable-form taper equations for Australian eucalypts . Forest Science , 46 : 397 – 409 .
   Web of Science ®Google Scholar
• DiCiccio , T. J. and Efron , B. 1996 . Bootstrap confidence intervals . Statistical Science , 11 : 189 – 228 .
   Web of Science ®Google Scholar
• Efron , B. and Tibshirani , R. 1986 . Bootstrap methods for standard errors, confidence intervals, and other measures of statistical accuracy . Statistical Science , 1 : 54 – 77 .
   Google Scholar
• Efron , B. and Tibshirani , R. J. 1993 . An introduction to the bootstrap , Boca Raton, FL : Chapman & Hall/CRC .
   Google Scholar
• Fang , Z. , Borders , B. E. and Bailey , R. L. 2000 . Compatible volume-taper models for loblolly and slash pine based on a system with segmented-stem form factors . Forest Science , 46 : 1 – 11 .
   Web of Science ®Google Scholar
• Garber , S. M. and Maguire , D. A. 2003 . Modeling stem taper of three central Oregon species using nonlinear mixed effects models and autoregressive error structures . Forest Ecology and Management , 179 : 507 – 522 .
   Web of Science ®Google Scholar
• Gregoire , T. G. , Schabenberger , O. and Barrett , J. P. 1995 . Linear modelling of irregularly spaced, unbalanced, longitudinal data from permanent-plot measurements . Canadian Journal of Forest Research , 25 : 137 – 156 .
   Web of Science ®Google Scholar
• Guisan , A. and Zimmermann , N. K. 2000 . Predictive habitat distribution models in ecology . Ecological Modelling , 135 : 147 – 186 .
   Web of Science ®Google Scholar
• Jiang , L. , Brooks , J. R. and Wang , J. 2005 . Compatible taper and volume equations for yellow-poplar in West Virginia . Forest Ecology and Management , 213 : 399 – 409 .
   Web of Science ®Google Scholar
• Jordon , L. , Berenhaut , K. , Souter , R. and Daniels , R. F. 2005 . Parsimonious and completely compatible taper, total, and merchantable volume models . Forest Science , 51 : 578 – 584 .
   Google Scholar
• Kitikidou , K. and Chatzilazarou , G. 2008 . Estimating the sample size for fitting taper equations . Journal of Forest Science , 54 : 176 – 182 .
   Google Scholar
• Kozak , A. 1988 . A variable-exponent taper equation . Canadian Journal of Forest Research , 18 : 1363 – 1368 .
   Web of Science ®Google Scholar
• Kozak , A. 1997 . Effects of multicollinearity and autocorrelation on the variable-exponent taper functions . Canadian Journal of Forest Research , 27 : 619 – 629 .
   Web of Science ®Google Scholar
• Kozak , A. 2004 . My last words on taper equations . Forestry Chronicle , 80 : 507 – 515 .
   Google Scholar
• Kozak , A. and Kozak , R. 2003 . Does cross validation provide additional information in the evaluation of regression models? . Canadian Journal of Forest Research , 33 : 976 – 987 .
   Web of Science ®Google Scholar
• Lee , W. K. , Seo , J. H. , Son , Y. M. , Lee , K. H. and Gadow , K. V. 2003 . Modeling stem profiles for Pinus densiflora in Korea . Forest Ecology and Management , 172 : 69 – 77 .
   Web of Science ®Google Scholar
• Max , T. A. and Burkhart , H. E. 1976 . Segmented polynomial regression applied to taper equation . Forest Science , 22 : 283 – 289 .
   Web of Science ®Google Scholar
• Muhairwe , C. K. , LeMay , V. M. and Kozak , A. 1994 . Effects of adding tree, stand, and site variables to Kozak's variable-exponent taper equation . Canadian Journal of Forest Research , 54 : 252 – 259 .
   Google Scholar
• Newton , P. F. and Sharma , M. 2008 . Effect of disk selection protocol on taper equation performance . Scandinavian Journal of Forest Research , 33 : 358 – 370 .
   Google Scholar
• Reed , D. D. and Green , E. J. 1984 . Compatible stem taper and volume ratio equations . Forest Science , 30 : 977 – 990 .
   Web of Science ®Google Scholar
• Rojo , A. , Perales , X. , Sanchez-Rodriguez , F. , Alvarez-Gonzalez , J. G. and von Godow , K. 2005 . Stem taper functions for maritime pine (Pinus pinaster Ait.) in Galicia (Northwestern Spain) . European Journal of Forest Research , 124 : 177 – 186 .
   Web of Science ®Google Scholar
• SAS Institute (2004). SAS/STAT 9.1 User's Guide, Cary, NC: SAS Institute Inc.
   Google Scholar
• Sharma , M. and Oderwald , R. G. 2001 . Dimensionally compatible volume and taper equations . Canadian Journal of Forest Research , 31 : 797 – 803 .
   Web of Science ®Google Scholar
• Sharma , M. , Oderwald , R. G. and Amateis , R. L. 2002 . A consistent system of equations for tree and stand volume . Forest Ecology and Management , 165 : 183 – 191 .
   Google Scholar
• Sharma , M. and Zhang , S. Y. 2004 . Variable-exponent taper equations for jack pine, black spruce, and balsam fir in eastern Canada . Forest Ecology and Management , 198 : 39 – 53 .
   Web of Science ®Google Scholar
• Sullivan , A. D. and Reynolds , M. R. 1976 . Regression problems from repeated measurements . Forest Science , 22 : 382 – 385 .
   Google Scholar
• Vanclay , J. ( 1994 ). Modelling forest growth and yield: Application to mixedtTropical forests , 312 p. New York, NY : CABI Publishing .
   Google Scholar
• Williams , M. S. and Reich , R. M. 1997 . Exploring the error structure of taper equations . Forest Science , 43 : 378 – 386 .
   Web of Science ®Google Scholar