Prevision of the bending strength of timber with a multivariate statistical approach-Reference-Cited by-同舟云学术

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Prevision of the bending strength of timber with a multivariate statistical approach

Published:1996 Issue:4 Volume:53 Page:885-896
ISSN:0003-4312
Container-title:Annales des Sciences Forestières
language:
Short-container-title:Ann. For. Sci.

Author:

Castéra P,Faye C,El Ouadrani A

Publisher

Springer Science and Business Media LLC

Subject

Plant Science

Cited by 16 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Statistical distributions and their influence on the material property values of tropical timber: Case study of Gmelina arborea;Structures;2023-07

2. Knots and their effect on the tensile strength of lumber: A case study;Journal of Quality Technology;2023-03-27

3. Genetic gains in wood property can be achieved by indirect selection and nondestructive measurements in full-sib families of Japanese cedar (Cryptomeria japonica. D. Don) plus tree clones;Annals of Forest Science;2021-05-19

4. Scots Pine and Norway Spruce Wood Properties at Sites with Different Stand Densities;Forests;2020-05-23

5. Sequential decision model for inference and prediction on nonuniform hypergraphs with application to knot matching from computational forestry;The Annals of Applied Statistics;2019-09-01

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