Validation of models predicting modulus of elasticity in Douglas-fir trees, boles, and logs

Author:

Todoroki Christine L.,Lowell Eini C.

Funder

Joint Venture Agreement between USDA FS and Scion

Publisher

Scion

Subject

General Medicine

Reference47 articles.

1. Achim, A., Paradis, N., Salenikovich, A., & Power, H. (2010). Using acoustic tools to improve the efficiency of the forestry wood chain in eastern Canada. ‘The Future of Quality Control for Wood & Wood Products’, 4-7th May 2010, Edinburgh. The Final Conference of COST Action E53. http://www.coste53.net/downloads/Edinburgh/Edinburgh-Presentation/59.pdf Accessed 26 April 2016.

2. Akaike, H. (1974). A new look at the statistical model identification. IEEE Transactions on Automatic Control, 19(6), 716–723. doi: 10.1109/TAC.1974.1100705 .

3. Altman, D. G., & Royston, P. (2000). What do we mean by validating a prognostic model? Statistics in Medicine, 19(4), 453–473.

4. Amishev, D., & Murphy, G. E. (2008a). Implementing resonance-based acoustic technology on mechanical harvesters/processors for real-time wood stiffness assessment: opportunities and considerations. International Journal of Forest Engineering, 19(2), 48–56.

5. Amishev, D., & Murphy, G. E. (2008b). In-forest assessment of veneer grade Douglas-fir logs based on acoustic measurement of wood stiffness. Forest Products Journal, 58(11), 42–47.

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