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Titlebook: Valuing Agroforestry Systems; Methods and Applicat Janaki R. R. Alavalapati,D. Evan Mercer Book 2005 Springer Science+Business Media B.V. 2

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發(fā)表于 2025-3-21 17:14:57 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Valuing Agroforestry Systems
副標(biāo)題Methods and Applicat
編輯Janaki R. R. Alavalapati,D. Evan Mercer
視頻videohttp://file.papertrans.cn/981/980434/980434.mp4
叢書名稱Advances in Agroforestry
圖書封面Titlebook: Valuing Agroforestry Systems; Methods and Applicat Janaki R. R. Alavalapati,D. Evan Mercer Book 2005 Springer Science+Business Media B.V. 2
描述The primary objective of this book is to offer practical means for strengthening the economics and policy dimension of the agroforestry discipline. This book, written by the leading experts in economics and agroforestry, encompasses case studies from Australia, China, Kenya, India, Indonesia, Malawi, Mexico, Micronesia, Tanzania, United Kingdom, United States, Zambia, and Zimbabwe. The applied economic methodologies encompass a wide variety of case studies including enterprise/farm budget models through Faustmann models, Policy Analysis Matrix, production function approach, risk assessment models, dynamic programming, linear programming, meta-modeling, contingent valuation, attribute-based choice experiments, econometric modeling, and institutional economic analysis. It is our belief that these methodologies help agroforestry students and professionals conduct rigorous assessment of economic and policy aspects of agroforestry systems and to produce less biased and more credible information. Furthermore, the economic and policy issues explored in the book – profitability, environmental benefits, risk reduction, household constraints, rural development, and institutional arrangements
出版日期Book 2005
關(guān)鍵詞China; Forestry; Portfolio; dynamic optimization; dynamic programming; econometrics; economics; forest; info
版次1
doihttps://doi.org/10.1007/1-4020-2413-4
isbn_softcover978-90-481-6655-8
isbn_ebook978-1-4020-2413-9Series ISSN 1875-1199 Series E-ISSN 1875-1202
issn_series 1875-1199
copyrightSpringer Science+Business Media B.V. 2005
The information of publication is updating

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Book 2005is book, written by the leading experts in economics and agroforestry, encompasses case studies from Australia, China, Kenya, India, Indonesia, Malawi, Mexico, Micronesia, Tanzania, United Kingdom, United States, Zambia, and Zimbabwe. The applied economic methodologies encompass a wide variety of ca
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Evan Mercer,Ann Snookng triangulated graph. The problem of obtaining an optimum graph triangulation is known to be NP-complete. Thus approximate algorithms which find a . triangulation in . time are of particular interest. This work describes and compares several heuristic algorithms developed for this purpose.
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Steven Franzelor the detection of colluded users is determined considering the false positive probability. We then estimate the parameters in the scheme for both optimal embedding and detection, and improve the accuracy of the detection of colluders. Experimental results show the effectiveness of proposed scheme.
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Maxwell Mudhara,Peter E. Hildebrand can avoid the false detection due to the wrong in background model or background update and can handle situation where the background of the scene contains small motions, and motion detection and segmentation can be performed correctly.
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