A non-linear mixed-effects model to predict cumulative bole volume of standing trees

被引:71
|
作者
Gregoire, TG [1 ]
Schabenberger, O [1 ]
机构
[1] VIRGINIA POLYTECH INST & STATE UNIV,COLL FORESTRY & WILDLIFE RESOURCES,BLACKSBURG,VA 24061
关键词
D O I
10.1080/02664769624233
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
For purposes of forest inventory and eventual management of the forest resource, it is essential to be able to predict the cumulative bole volume to any stipulated point on the standing tree bole, while requiring measurements of tree size that can be made easily, quickly and accurately. Equations for this purpose are typically non-linear and are fitted to data garnered from a sample of felled trees. Because the cumulative bole volume of each tree is measured to numerous upper-bole locations, correlations between measurements within a tree are likely. A mixed-effects model is fitted to account for this within-subject (tree) correlation structure, while also portraying the sigmoidal shape of the cumulative bole volume profile.
引用
收藏
页码:257 / 271
页数:15
相关论文
共 50 条
  • [1] A Nonlinear Mixed-Effects Model to Predict Stem Cumulative Biomass of Standing Trees
    Li, Yaoxiang
    Jiang, Lichun
    Liu, Mingyu
    2011 3RD INTERNATIONAL CONFERENCE ON ENVIRONMENTAL SCIENCE AND INFORMATION APPLICATION TECHNOLOGY ESIAT 2011, VOL 10, PT A, 2011, 10 : 215 - 221
  • [2] Modeling antitumor activity by using a non-linear mixed-effects model
    Liang, H
    Sha, NJ
    MATHEMATICAL BIOSCIENCES, 2004, 189 (01) : 61 - 73
  • [3] Improving the Runtime Performance of Non-linear Mixed-Effects Model Estimation
    Haber, Tom
    van Reeth, Frank
    EURO-PAR 2019: PARALLEL PROCESSING WORKSHOPS, 2020, 11997 : 560 - 571
  • [4] A linear mixed-effects model of biomass and volume of trees using Landsat ETM+ images
    Meng, Qingmin
    Cieszewski, Chris J.
    Madden, Marguerite
    Borders, Bruce
    FOREST ECOLOGY AND MANAGEMENT, 2007, 244 (1-3) : 93 - 101
  • [5] Nonparametric estimations for the cumulative distribution functions of random effects in a linear mixed-effects model
    Thuy, Le Thi Hong
    Phuong, Cao Xuan
    COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 2024, 53 (10) : 3659 - 3687
  • [6] A Two-Step Method of Estimation for Non-Linear Mixed-Effects Models
    Wang, Jianling
    Luan, Yihui
    Jiang, Jiming
    MATHEMATICS, 2022, 10 (23)
  • [7] Model selection in single-time-point dosimetry using non-linear mixed-effects modeling
    Hardiansyah, Deni
    Riana, Ade
    Beer, Ambros
    Glatting, Gerhard
    JOURNAL OF NUCLEAR MEDICINE, 2023, 64
  • [8] Non-linear mixed-effects models with stochastic differential equations: Implementation of an estimation algorithm
    Overgaard, RV
    Jonsson, N
    Tornoe, CW
    Madsen, H
    JOURNAL OF PHARMACOKINETICS AND PHARMACODYNAMICS, 2005, 32 (01) : 85 - 107
  • [9] Single-time-point estimation of absorbed doses in PRRT using a non-linear mixed-effects model
    Hardiansyah, Deni
    Riana, Ade
    Beer, Ambros J.
    Glatting, Gerhard
    ZEITSCHRIFT FUR MEDIZINISCHE PHYSIK, 2023, 33 (01): : 70 - 81
  • [10] The SAEM algorithm for group comparison tests in longitudinal data analysis based on non-linear mixed-effects model
    Samson, Adeline
    Lavielle, Marc
    Mentre, France
    STATISTICS IN MEDICINE, 2007, 26 (27) : 4860 - 4875