Journal article
Error impact of regression models on forest road spacing
Silva Balcanica, Vol.12(1), pp.97-111
2011
Abstract
Statistical time prediction models are common in production estimation of different forest machineries. These models are usually developed using multiple regression method. Application of regression method causes considerable errors. In this paper, firstly the confidence interval curves of the parameters used in the yarding and installation time predicting models of tower yarder in Austria are presented. The second part of this study deals with the effect of the error of regression models on optimal road spacing of tower yarder based on the minimization of total costs of roading, yarding and installation. Finally to choose the best optimal spacing under uncertainty, we used the multiple criteria decision making process considering the criteria like minimum total cost (Euro/m3) as economical criteria, soil erosion, soil compaction in the skid trail, area of constructed roads (m2/ha), reforestation costs and facilitate of silvicuturaltreatments to the stands.
Details
- Title
- Error impact of regression models on forest road spacing
- Authors
- Mohammad R Ghaffariyan (Author) - University of TasmaniaJ Sessions (Author) - Oregon State University, United States
- Publication details
- Silva Balcanica, Vol.12(1), pp.97-111
- Publisher
- Bulgarska Akademiya na Naukite
- Date published
- 2011
- ISSN
- 1311-8706; 1311-8706
- Copyright note
- Copyright © 2011 Bulgarska Akademiya na Naukite. Reproduced here with permission of the copyright holder.
- Organisation Unit
- University of the Sunshine Coast, Queensland; Forest Industries Research Centre; Forest Research Institute
- Language
- English
- Record Identifier
- 99448896902621
- Output Type
- Journal article
- Research Statement
- false
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