期刊文献+

Monte Carlo模拟在农业综合开发项目风险评价中的应用研究 被引量:1

Application of Mente Carlo Stimulation in Risk Evaluation of Agricultural Comprehensive Exploration Project
下载PDF
导出
摘要 介绍了Monte Carlo方法原理和模拟计算实现过程,以社会主义新农村建设农业综合开发项目为实例,构建了固定资产投资、经营成本和销售收入为风险因素的概率分布函数,以内部收益率为风险评价指标,利用Monte Carlo方法对项目进行了风险评价。结果表明,该项目内部收益率小于20%的风险概率为27%,可以实施;Monte Carlo方法定量评价项目投资风险具有较好的实用性。 Mente Carlo method and stimulation steps are introduced. Taking agricultural comprehensive exploitation project of new country construction as example, probability distributing function of risk factors for fixed assets investment, management cost and selling income are modeled, and then risk evaluation of the project is made using Mente Carlo method and taking FIRR as risk evaluation index. The result shows that the risk probability that FIRR is less than 20% is 27%. Mente Carlo method has good practicability in evaluating investment risk of project quantitatively.
出处 《安徽农业科学》 CAS 北大核心 2008年第8期3055-3056,共2页 Journal of Anhui Agricultural Sciences
关键词 MONTE Carlo 风险评价 随机抽样 农业综合开发 Monte carlo Risk evaluation Random sample Agricultural comprehensive exploitation
  • 相关文献

参考文献2

  • 1DOUCET A,DE FREITAS N,GORDON N.Sequential monte carlo methods in practice[M].New York : Springer-Verlag, 2000.
  • 2余健明,刘国东,王永银,等.现代咨询方法与实务[J].北京:中国计划出版社,2003.

同被引文献50

  • 1何保丽,鲁绍雄,连林生.Monte Carlo模拟方法在动物育种中的应用[J].黄牛杂志,2005,31(4):43-47. 被引量:2
  • 2Anderson S. Animal genetic resources and sustainable livelihoods. Ecological Economics, 2003, 45(3): 331-339.
  • 3Frankham R, Ballou J D, Briseoe D A. Introduction to Conservation Genetics. Cambridge, UK: Cambridge University Press, 2002.
  • 4Montgomery M E, Woodworth L M, Nurthcn R K, Gilligan D M, Briscoe D A, Frankham R. Relationships between population size and loss of genetic diversity: comparisons of experimental results with theoretical predictions. Conservation Genetics, 2000, 1 (1): 33-43.
  • 5Cervantes I, Meuwissen T H E. Maximization of total genetic variance in breed conservation programmes. Journal of Animal Breeding and Genetics, 2011,128(6): 465-472.
  • 6Food and Agriculture Organization of the United Nations. The State of the World's Animal Genetic Resources for Food and Agriculture. Guidelines for the Development of Country Reports, 2007.
  • 7Fraser A S. Simulation of genetic systems by automatic digital computers. I. Introduction. II. Effects of linkage on rates of advance under selection. Australian Journal of Biology Science, 1957, 10: 484-499.
  • 8MacCluer J W, Vandeberg J L, Read B, Ryder O A. Pedigree analysis by computer-simulation. Zoo Biology, 1986, 5(2): 147-160.
  • 9Shriver M D, Jin L, Chakraborty R, Boerwinkle E. VNTR Allele frequency distributions under the stepwise mutation model: a computer simulation approach. Genetics, 1993, 134: 983-993.
  • 10Goldstein D B, Linares A R, Cavalli-Sforzaf L L, Feldman M W. An evaluation of genetic distances for use with mierosatellite loci. Genetics, 1995, 139: 463-471.

引证文献1

二级引证文献8

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部