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Prediction of Stem Measurements of Scots Pine

Author

Listed:
  • T. Nummi
  • J. Mottonen

Abstract

The aim of this study was to investigate prediction of stem measurements of Scots pine(Pinus sylvestris L.) for a modern computerized forest harvester. We are interested in the prediction of stem curve measurements when measurements of stems already processed and a short section of the stem under process are known. The techniques presented here are based on cubic smoothing splines and on multivariate regression models. One advantage of these methods is that they do not assume any special functional form of the stem curve. They can also be applied to the prediction of branch limits and stem height of pine stems.

Suggested Citation

  • T. Nummi & J. Mottonen, 2004. "Prediction of Stem Measurements of Scots Pine," Journal of Applied Statistics, Taylor & Francis Journals, vol. 31(1), pages 105-114.
  • Handle: RePEc:taf:japsta:v:31:y:2004:i:1:p:105-114
    DOI: 10.1080/0266476032000148975
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    Cited by:

    1. K. Kuželka & R. Marušák, 2014. "Use of nonparametric regression methods for developing a local stem form model," Journal of Forest Science, Czech Academy of Agricultural Sciences, vol. 60(11), pages 464-471.

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