Improving Natural Resource Management: Ecological and Political Models

Author:   Timothy C. Haas (University of Wisconsin at Milwaukee)
Publisher:   John Wiley & Sons Inc
ISBN:  

9780470661130


Pages:   272
Publication Date:   04 March 2011
Format:   Hardback
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

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Improving Natural Resource Management: Ecological and Political Models


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Full Product Details

Author:   Timothy C. Haas (University of Wisconsin at Milwaukee)
Publisher:   John Wiley & Sons Inc
Imprint:   John Wiley & Sons Inc
Dimensions:   Width: 15.60cm , Height: 1.90cm , Length: 23.60cm
Weight:   0.522kg
ISBN:  

9780470661130


ISBN 10:   0470661135
Pages:   272
Publication Date:   04 March 2011
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

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This said, I acknowledge that the goal that stands behind this book was very challenging and that the EMT model can represent a good starting point. (Journal of Artificial Societies and Social Simulation, 2011)


This said, I acknowledge that the goal that stands behind thisbook was very challenging and that the EMT model can represent agood starting point. (Journal of Artificial Societies and SocialSimulation, 2011) <p>


This said, I acknowledge that the goal that stands behind this book was very challenging and that the EMT model can represent a good starting point. (Journal of Artificial Societies and Social Simulation, 2011)<p>


Author Information

Timothy C. Haas, Lubar School of Business Administration, University of Wisconsin at Milwaukee. Timothy Haas is involved in teaching undergraduate and graduate courses in statistical methods, pursuing decision making and environmental statistics research, and collaborating with faculty on application of statistics to Marketing and Economics.

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