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Application and Integration of Multiple Linear Regression and Linear Programming in Renewable Resource Analyses
Author
Van Dyne, G. M.
Publisher
Society for Range Management
Publication Year
1966-11-01
Body

This paper presents preliminary results of formulating quantitatively the influence of site factors on various nutrient production measures and using these relationships in linear programming models to determine the optimum protein production on a foothill range. Site characteristics for optimum protein production were constrained to fall within the range of variables measured, and were constrained to satisfy certain inherent relationships known about these variables. This example shows a useful application of an operations research technique to resource evaluation problems. This material was digitized as part of a cooperative project between the Society for Range Management and the University of Arizona Libraries. The Journal of Range Management archives are made available by the Society for Range Management and the University of Arizona Libraries. Contact lbry-journals@email.arizona.edu for further information. Migrated from OJS platform August 2020

Language
en
Resource Type
Text
Document Type
Journal Issue/Article
Digital Object Identifier (DOI)
10.2307/3895571
Additional Information
Van Dyne, G. M. (1966). Application and integration of multiple linear regression and linear programming in renewable resource analyses. Journal of Range Management, 19(6), 356-362.
ISSN
0022-409X
OAI Identifier
oai:repository.arizona.edu:10150/647895
Journal Volume
19
Journal Number
6
Journal Pages
356-362
Collection
Rangeland Ecology & Management (REM)
Journal Name
Journal of Range Management
Keywords
economics
Interrelationships
Site Characteristics
clay
Rock
Multiple Linear Regression
Renewable Resource Analyses
Nutrient Production
Protein Production
Constraints
Inherent Relations
Realism
Biological
Sand Content
Conductivity
Optimum Site
Mathematical Expression
historical development
linear programming
soil depth
slope
elevation
foothill range
Quantitative
content
organic matter
Factors
integration
phosphorus
site factors
exposure
pH
applications