Titlebook: Environmental Policy Analysis for Decision Making; John Loomis,Gloria Helfand Book 2001 Springer Science+Business Media Dordrecht 2001 Pol

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书目名称Environmental Policy Analysis for Decision Making影响因子(影响力)




书目名称Environmental Policy Analysis for Decision Making影响因子(影响力)学科排名




书目名称Environmental Policy Analysis for Decision Making网络公开度




书目名称Environmental Policy Analysis for Decision Making网络公开度学科排名




书目名称Environmental Policy Analysis for Decision Making被引频次




书目名称Environmental Policy Analysis for Decision Making被引频次学科排名




书目名称Environmental Policy Analysis for Decision Making年度引用




书目名称Environmental Policy Analysis for Decision Making年度引用学科排名




书目名称Environmental Policy Analysis for Decision Making读者反馈




书目名称Environmental Policy Analysis for Decision Making读者反馈学科排名

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抗体

行为

The Economics of Non-Market Goods and Resourceshttp://image.papertrans.cn/e/image/312813.jpg

领袖气质

,Pressure Drop—Empirical Methods,e major effects on anyone, or if your client is not likely to make much use of your work, then not making an exact prediction of the effects of that policy will not matter very much. On the other hand, if millions of dollars or many lives may rest on the results of your study, then you will want to

要素

Teerawat Issariyakul,Ekram Hossaintice example above) and forecasting results (as in some of the discussions of recreation demand models, above). Our purpose here is simply to expose you to the usefulness of this method for analyzing data. Anyone who uses regression techniques should appreciate the importance of using this method th

要素

https://doi.org/10.1007/978-1-4684-0835-5echniques applied. Perhaps due to these features, they were able to complete the analysis and illustrate the trade-offs between alternatives. Also notice that, as more decision criteria are incorporated, such as in the U.S. Forest Service matrix, the “best alternative” often becomes far less obvious

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Statistical Analysis Using Regression,tice example above) and forecasting results (as in some of the discussions of recreation demand models, above). Our purpose here is simply to expose you to the usefulness of this method for analyzing data. Anyone who uses regression techniques should appreciate the importance of using this method th

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Examples of Policy Analyses,echniques applied. Perhaps due to these features, they were able to complete the analysis and illustrate the trade-offs between alternatives. Also notice that, as more decision criteria are incorporated, such as in the U.S. Forest Service matrix, the “best alternative” often becomes far less obvious