[1]徐  磊, 张  峭. 构建粮食生产风险管理体系, 完善粮食安全保障长效机制. 中国食物与营养, 2010(11): 4-6.
Xu L, Zhang Q. Constructing system of risk management for grain production and improving long effective mechanism of grain security in China. Food and Nutrition, 2010(11): 4-6. (in Chinese)
[2]Goodwin B K, Mahul O. Risk Modeling Concepts Relating to the Design and Rating of Agricultural Insurance Contracts. Washington DC, 2004.
[3]Sherrick B J, Zanini F C, Schnitkey G D, Irwin S H. Crop insurance valuation under alternative yield distributions. American Journal of Agricultural Economics, 2004, 86(2): 406-419.
[4]Turvey C, Zhao J H. Parametric and Non-parametric Crop Yield Distributions and their Effects on All-risk Crop Insurance Premiums, University of Guelph, Toronto, 2008.
[5]Ramirez O A, Misra S, Field J. Crop-yield distributions revisited. American Journal of Agricultural Economic, 2003, 85(1): 108-120.
[6]Coble K H, Knight T O, Pope R D, Williams J R. Modeling farm-level crop insurance demand with panel data. American Journal of Agricultural Economics, 1996, 78(2): 439-447.
[7]Goodwin B.K, Ker A P. Nonparametric estimation of crop yield distributions: implications for rating group-risk crop insurance contracts. American Journal of Agricultural Economics, 1998, 80(1): 139-153.
[8]Hao J Q. Modeling and financing weather risk: three essays[D]. Lexington: University of Kentucky, 2005.
[9]解  强. 极值理论在巨灾损失拟合中的应用. 金融发展研究, 2008(7): 68-71.
Xie Q. Fitting the probability distribution of catastrophe losses: application of extreme value theory. Journal of Financial Development Research, 2008(7): 68-71. (in Chinese)
[10]欧阳资生. 巨灾保险索赔数据的极值风险度量. 统计与决策, 2007(22): 26-28.
Ouyang Z S. Measurement extreme risk based on claim data of catastrophe insurance. Statistics and Decision-Making, 2007(22): 26-28. (in Chinese)
[11]Davison A C, Smith R L. Models for exceedances over high thresholds. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 1990, 52(3): 393-442.
[12]Katz R W, Parlange M B, Naveau P. Statistics of extremes in hydrology. Advances in Water Resources, 2002, 25: 1287-1304.
[13]McNeil A J. Estimating the tails of loss severity distributions using extreme value theory. ASTIN Bulletin, 1996, 12: 117-137.
[14]Rootzén H, Tajvidi N. Extreme value statistics and wind storm losses: a case study. Scandinavian Actuarial Journal, 1995, 10: 70-94.
[15]Danielsson J, De Vries C G. Tail index and quantile estimation with very high frequency data. Journal of Empirical Finance, 1997, 4: 241-257.
[16]Embrechts P, Resnick S I, Samorodnitsky G. Extreme value theory as a risk management tool. The North American Actuarial Journal, 1999, 26: 30-41.
[17]Xu L, Zhang Q. Modeling agricultural catastrophic risk. Agriculture and Agricultural Science Procedia, 2010(1): 251-257.
[18]杨文艳, 曹士民, 江和文. 2007 年3 月盘锦市罕见暴雪的“暖冬”背景及极值估算. 安徽农业科学, 2008, 36(14): 5989- 5990.
Yang W Y, CAO S M, Jiang H W. “Warm Winter” background and extreme estimation of panjin rare snowstorm in march 2007. Journal of Anhui Agricultural Sciences, 2008, 36(14): 5989-5990. (in Chinese)
[19]鹿翠华. 最大风速变化特征及再现期极值估算. 气象科技, 2010, 38(3): 399-402.
Lu C H. Characteristics of maximum wind velocity and estimation of extreme maximum velocity in return period. Meteorological Science and Technology, 2010, 38(3): 399-402. (in Chinese)
[20]陈朝晖, 管前乾. 基于短期资料的重庆风速极值渐进分布分析. 重庆大学学报: 自然科学版, 2006, 29(12): 88-92.
Chen Z H, Guan Q Q. Simulating of asymptotic distributions of extreme wind speed in Chong Qing using short-term wind speed records. Journal of Chong Qing University: Natural Science Edition, 2006, 29(12): 88-92. (in Chinese)
[21]罗  艺, 谭丽蓉, 王  军. 咸潮作用下上海水资源风险极值统计分析. 资源科学, 2010, 32(6): 1184-1187.
Luo Yi, Tan L R, Wang J. Analysis of water deficit risk in Shanghai caused by salt intrusion by extreme value statistics. Resources Science, 2010, 32(6): 1184-1187.(in Chinese)
[22]Zhang Q, Wang K, Zhang X. Study on the assessment approach for crop loss risk. Agriculture and Agricultural Science Procedia, 2010(1): 219-225.
[23]Fisher R A, Tippett L H C. Limiting forms of the frequency distribution of the largest or smallest member of a sample. Proceedings of the Cambridge Philosophical Society, 1928, 24: 180-190.
[24]Gumbel E J. Statistics of Extreme. New York: Columbia University Press, 1958.
[25]Pickands Ⅲ J. Statistical inference using extreme order statistics. The Annals of Statistics, 1975, 3(1): 119-131.
[26]Coles S. An Introduction to Statistical Modeling of Extreme Values, London: Springer-Verlag, 2001.