LOGISTIC REGRESSION MODELS OF FACTORS INFLUENCING THE LOCATION OF BIOENERGY AND BIOFUELS PLANTS

Logistic regression models were developed to identify significant factors that influence the location of existing wood-using bioenergy/biofuels plants and traditional wood-using facilities. Logistic models provided quantitative insight for variables influencing the location of woody biomass-using fa...

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Bibliographic Details
Published in:BioResources
Main Authors: Timothy M. Young, Russell L. Zaretski, James H. Perdue, Frank M. Guess, Xu Liu
Format: Article
Language:English
Published: North Carolina State University 2011-02-01
Subjects:
Bioenergy
Biofuels
Optimal siting
Logistic regression models
Online Access:http://www.ncsu.edu/bioresources/BioRes_06/BioRes_06_1_0329_Young_ZPGL_Logistic_Regress_Factors_Locat_Bioenergy_Plants_1161.pdf

Internet

http://www.ncsu.edu/bioresources/BioRes_06/BioRes_06_1_0329_Young_ZPGL_Logistic_Regress_Factors_Locat_Bioenergy_Plants_1161.pdf

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