Nonlinear Mixed-Effects (NLME) Diameter Growth Models for Individual China-Fir (Cunninghamia lanceolata) Trees in Southeast China
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DOI: 10.1371/journal.pone.0104012
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Cited by:
- Yan-qiong Li & Xiang-wen Deng & Zhi-hong Huang & Wen-hua Xiang & Wen-de Yan & Pi-feng Lei & Xiao-lu Zhou & Chang-hui Peng, 2015. "Development and Evaluation of Models for the Relationship between Tree Height and Diameter at Breast Height for Chinese-Fir Plantations in Subtropical China," PLOS ONE, Public Library of Science, vol. 10(4), pages 1-21, April.
- Manuel Arias-Rodil & Fernando Castedo-Dorado & Asunción Cámara-Obregón & Ulises Diéguez-Aranda, 2015. "Fitting and Calibrating a Multilevel Mixed-Effects Stem Taper Model for Maritime Pine in NW Spain," PLOS ONE, Public Library of Science, vol. 10(12), pages 1-20, December.
- Ollier, Edouard, 2022. "Fast selection of nonlinear mixed effect models using penalized likelihood," Computational Statistics & Data Analysis, Elsevier, vol. 167(C).
- Pires, Sandra Aguiar de Oliveira & de Mendonça, Adriano Ribeiro & da Silva, Gilson Fernandes & d'Oliveira, Marcus Vinícius Neves & de Oliveira, Luís Claudio & Silva, Jeferson Pereira Martins & da Silv, 2021. "Growth modeling of Carapa guianensis and Tetragastris altissima for improved management in native forests in the Amazon," Ecological Modelling, Elsevier, vol. 456(C).
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