70. De Bock, O. and D.U. Ontiveros, 2013. Literature Review on the Impact of Micro insurance. Research Paper No. 35, International Labor Office (ILO), Geneva.
71. De Nicola, F. and V.R. Hill., 2012. Interplay among Credit, Weather Insurance and Savings for Farmers in Ethiopia. Unpublished International Food Policy Research Institute (IFPRI) Working Paper. Washington, DC.
72. Denzin, Norman K.; Lincoln, Yvonna S., eds., 2005. The Discipline and Practice of Qualitative Research. The Sage Handbook of Qualitative Research (3rd ed.). Thousand Oaks, California: SAGE Publications. pp. 3–4. ISBN 978-0-7619- 2757-0.
73. Deng, Xiaohui & Barnett, Barry & Vedenov, Dmitry & West, Joe., 2007. Hedging dairy production losses using weather-based index insurance. Agricultural Economics. 36. 271-280. 10.1111/j.1574-0862.2007.00204.x.
74. D'haeze, Dave & Baker, Peter & Tan, Phan. 2017. Vietnam‟s central highlands‟ upland agriculture Under pressure because of the looming effects of climate change
– focus on Robusta coffee. In: Conference: Buon Ma Thuot Coffee Festival. Daklak March 2017. Vietnam
75. DiCiccio TJ, Efron B, 1996. Bootstrap confidence intervals (with Discussion).
Statistical Science 11: 189–228
76. Dinar, Ariel & Seo, S. & Kurukulasuriya, Pradeep & Mendelsohn, Robert & Hassan, Rashid & Benhin, James & Deressa, Temesgen & Diop, Mbaye & Eid, Helmy & Fosu, K. & Gbetibouo, Glwadys & Jain, Suman & Mahamadou, Ali & Mano, Reneth & Kabubo-Mariara, Jane & El-Marsafawy, Samia & Molua, Ernest & Ouda, Samiha & Ouedraogo, Mathieu & Maddison, David. (2006). Will African Agriculture Survive Climate Change?. World Bank Economic Review. 20. 367-388. 10.1093/wber/lhl004.
Có thể bạn quan tâm!
-
So Sánh Mô Hình Hồi Quy Logistic Tần Số Và Hồi Quy Logistic Bayesian -
Các Chức Năng C Bản Của C Quan Quản Lý Rủi Ro Nông Nghiệp Và Liên Kết Tới Đ N Vị Phát Triển Thị Trường Bảo Hiểm Nông Nghiệp -
Chính Phủ, 2011. Quyế 3 5/qđ- M B O Hi M Nông Nghi P . Hà Nội, Năm 2011. -
Silvia Müller, Gaby Ramm & Roland Steinmann, 2014. Agriculture, Microinsurance, And Rural Development . Microinsurance Network. -
Danh Sách Đối Tượng Nghiên Cứu Hư Ng H Định Tính -
Nghiên cứu ứng dụng thống kê Bayes phân tích việc sẵn lòng tham gia bảo hiểm cây cà phê theo chỉ số năng suất của hộ nông dân tỉnh Đắk Lắk - 24
Xem toàn bộ 251 trang tài liệu này.
77. Efron, B., 1979. Bootstrap methods: Another look at the jackknife. The Annals of Statistics. 7 (1): 1–26. doi:10.1214/aos/1176344552.
78. Efroymson,M. A., 1960. Multiple regression analysis. Mathematical Methods for Digital Computers, Ralston A. and Wilf,H. S., (eds.), Wiley, New York.
79. Elbeck, M. and Tirtiroglu, E., 2008. Qualifying Purchase Intentions Using Queueing Theory. Journal of Applied Quantitative Methods, Vol. 3, Issue 2, pp. 167-168.
80. FAO, 2012. Insuarance Agricultural in Asian and Pacific region 2012. Regional Office for Asia and the Pacific publication, 2011/12.
81. Fawcett, Tom, 2006. An Introduction to ROC Analysis (PDF). Pattern Recognition Letters. 27 (8): 861–874. doi:10.1016/j.patrec.2005.10.010.
82. Fishbein, M. 2008. A reasoned action approach to health promotion. Medical Decision Making, 28, 834-844.
83. Fonta, W.M., Sanfo, S., Kedir, A.M. et al, 2018. Estimating farmers‟willingness to pay for weather index-based crop insurance uptake in West Africa:Insight from a pilot initiative in Southwestern Burkina Faso. Agric Econ 6, 11(2018). https://doi.org/10.1186/s40100-018-0104-6
84. Garedew MG, Sinkie SO, Handalo DM, Salgedo WB, Yitebarek Kehali K, Kebene FG, Waldemarium TD, Mengesha MA, 2020. Willingness to Join and Pay for Community-Based Health Insurance Among Rural Households of Selected Districts of Jimma Zone, Southwest Ethiopia. Clinicoecon Outcomes Res. 2020;12:45-55 https://doi.org/10.2147/CEOR.S227934
85. Gelman, A., & Hill, J. , 2007. Data analysis using regression and multilevel/hierarchical models . New York : Cambridge University Press .
86. Gelman, Andrew & Carlin, John & Stern, Hal & Dunson, David & Vehtari, Aki & Rubin, Donald. 2013. Bayesian Data Analysis. 10.1201/b16018.
87. Genell, A., Nemes, S., Steineck, G. et al, 2010. Model selection in Medical Research: A simulation study comparing Bayesian Model Averaging and Stepwise Regression. BMC Med Res Methodol 10, 108. https://doi.org/10.1186/1471-2288- 10-108.
88. Gernát, P., Košťálová, Z., & Lyócsa, Š. 2020. What drives U.S. financial sector volatility? A Bayesian model averaging perspective. Research in International Business and Finance, 51, 101095. doi:10.1016/j.ribaf.2019.101095
89. Gerrard, M., Gibbons, F. X., Brody, G. H., Murry, V. M., Cleveland, M. J., & Wills, T. A. 2006. A theory-based dual focus alcohol intervention for preadolescents: The Strong African American Families Program. Psychology of Addictive Behaviors, 20, 185-195.
90. GlobalAgRisk, 2009. Designing agricultural index insurance in developing countries: a GlobalAgRisk market development model handbook for policy and decision makers. Lexington, KY, GlobalAgRisk.
91. Grimes D A, 2008. The nomogram epidemic: resurgence of a medical relic. Ann Intern Med, 149(4), pp. 273-275.
92. Gujarati, D. N., & Porter, D. C., 2009. Basic econometrics. Boston, Mass: McGraw-Hill.
93. Gujarati, D. N., 2011. Econometrics by example. New York : Palgrave Macmillan.
94. Gibbons, F.X. 2006. Behavioral intentions, expectations, and willingness . In
M. Gerrard & K. D. McCaul (Eds.), Constructs and measures web resource. National Cancer Institute Internet
95. Given, L. M., ed., 2008. The Sage Encyclopedia of Qualitative Research Methods. Los Angeles: SAGE Publications. ISBN 978-1-4129-4163-1.
96. Hamza, K., 1995. The smallest uniform upper bound on the distance between the mean and the median of the binomial and Poisson distributions. Statist. Probab. Lett. 23 21–25.
97. Hanck, C. and Arnold, M. and Gerber, A. and Schmelzer, M., 2020.
Introduction to Econometrics with R. https://www.econometrics-with-r.org.
98. Hastie, T., Tibshirani, R., & Friedman, J., 2016. The elements of statistical learning: Data mining, inference and prediction. Second edition, Springer Series in Statistics.
99. Hill, V. R. and A. Viceisa. 2010. An Experiment on the Impact of Weather Shocks and Insurance on Risky Investment. International Food Policy Research Institute (IFPRI) Discussion Paper 00974. Washington, D.C, USA.
100.Hocking, R. R. .1976. The Analysis and Selection of Variables in Linear Regression, Biometrics, 32.
101.Howson C, Urbach P. 1989. Scientific Reasoning: The Bayesian Approach. La Salle, IL: Open Court, 1989.
102. Huang, X., Huang, G., Yu, C., Ni, S., & Yu, L. 2017. A multiple crop model ensemble for improving broad-scale yield prediction using Bayesian model averaging. Field Crops Research, 211, 114–124. doi:10.1016/j.fcr.2017.06.011
103. Humphrey, Albert, 2005. SWOT Analysis for Management Consulting. SRI Alumni Newsletter (SRI International).
104.IPCC, 2014. Climate change 2014: Impacts, adaptation, and vulnerability. Working group II contribution to the fifth assessment report of the Intergovernmental Panel on Climate Change. Technical Report. Cambridge University Press, Cambridge, UK/New York, USA.
105.Ipsard (2011). Vietnam coffee supply chain risk assessment.https://www.agriskmanagement.org/sites/agriskmanagementforum.org/f iles/Documents/Coffee%20supply%20chain%20risk%20assessment%20(Vietnam). pdf.
106.Iturrioz, Ramiro.2009. Agricultural insurance (English). Primer series on insurance ; issue no. 12. Washington, D.C. : World Bank Group.
107.Jaffee S., P. Siegel and C. Andrews, 2010. Rapid Agricultural Supply Chain Risk Assessment: A Conceptual Framework. The World Bank. Washington. D.C.
108.Janzen, A. S. and M.R. Carter. 2013. The Impact of Microinsurance on Assets Accumulation and Human Capital Investments: Evidence from a Drought in Kenya. Research Paper, No.31. International Labor Office, Geneva.
109.Jaramillo, J., E. Muchugu, F. E. Vega, A. Davis, C. Borgemeister, A. Chabi- Olaye, 2011. Some Like It Hot: The Influence and Implications of Climate Change on Coffee Berry Borer (Hypothenemus hampei) and Coff ee Production in East Africa. PLoS ONE 6(9): e24528. doi:10.1371/journal.pone.0024528.
110.Jaynes, E. T., 1968. Prior Probabilities, IEEE Trans. on Systems Science and Cybernetics, SSC-4, 227.
111. Jennifer A. Hoeting, David Madigan, Adrian E. Raftery and Chris T. Volinsky, 1999. Bayesian Model Averaging: A Tutorial. Statistical Science, Vol. 14, No. 4, pp. 382-401
112.Jeremy Haggar and Kathleen Schepp, 2011. Impacts of Climate Change in the Pilot Country Vietnam the Coffee & Climate Initiative.
113.Jonah Gabry and Ben Goodrich, 2020. Estimating Generalized Linear Models for Binary and Binomial Data with rstanarm. http://mc- stan.org/rstanarm/articles/binomial.html
114. Kaplinsky, R., & Fitter, R., 2001. Who gains from product rents as the coffee market becomes more differentiated? A value-chain analysis. IDS Bulletin, 32(3), 69-82.
115. Karlan, D., E. Kutsoati, M. McMillan and C. Udry, 2010. Crop Price Indemnified Loans for Farmers: A Pilot Experiment in Rural Ghana. Innovation for Poverty Action (IPA). Journal of Risk and Insurance 78 (1): 37-55.
116. Karlan, D., R. Osei, I. Osei‑Akoto and C. Udry., 2013. Agricultural Decision after Relaxing Risk and Credit Constraints. Yale University and University of Ghana.
117. Kass RE, Raftery AE. Bayes factors, 1995. Journal of the American Statistical Association 1995; 90:773 –795.
118. Katona, George. Psychological analysis of economic behavior. New York, McGraw-Hill, 1951 (OCoLC)610289252
119. Kattan M W, Marasco J, 2010. What is a real nomogram. Semin Oncol, 37(1), pp. 23-26.
120. Ke, W., Z. Qaio, S. Kimura and S. Akter, 2014. Is the Insurance Program Effective in China? Evidence from Farmers Analysis in Five Provinces. Journal of Integrative Agriculture 14(10):2109-2120. doi：10.1016/S2095-3119(14)60842-X.
121. Koloma,Y., 2015. Crop Microinsurance for Maize Farmers in Burkina Faso: Access and Agriculture Performance in the Dandé Village. Strategic Change, 24(1), pp. 115-129.
122. Kong, R., Turvey, C. G., Rong, K., Guangwen, H., Jiujie, M. & Patrick, M., 2011. Factors influencing Shaanxi and Gansu farmers‟ willingness to purchase weather insurance. China Agricultural Economic Review, 3 (4), 423–440.
123.Kor, Liew Kee & Ahmad, Abd-Razak & Zanariah, Zanariah & Mansor, Kamarul Ariffin. (2019). Proceedings of the Third International Conference on Computing, Mathematics and Statistics (iCMS2017) Transcending Boundaries, Embracing Multidisciplinary Diversities: Transcending Boundaries, Embracing Multidisciplinary Diversities. 10.1007/978-981-13-7279-7.
124. Krueger, R., 1994. Focus groups: A practical guide for supplied research. Newbury Park: Sage.
125. Laux P, Jäckel G, Tingem RM, Kunstmann H, 2010. Impact of climate change on agricultural productivity under rain fed conditions in Cameroon-A method to improve attainable crop yields by planting date adaptations. Agricultural and Forest Meteorology. Volume 150, Issue 9, 2010, Pages 1258-1271, ISSN 0168-1923, https://doi.org/10.1016/j.agrformet.2010.05.008.
126. Liesivaara, P. and Myyrä, S., 2014. Willingness to pay for agricultural crop insurance in the northern EU. Agricultural Finance Review, Vol. 74 No. 4, pp. 539- 554. https://doi.org/10.1108/AFR-06-2014-0018
127. Lin, J., Boyd, M., Pai, J., Porth, L., Zhang, Q. and Wang, K., 2015. Factors affecting farmers‟ willingness to purchase weather index insurance in the Hainan Province of China. Agricultural Finance Review, Vol. 75 No. 1, pp. 103 https://doi.org/10.1108/AFR-02-2015-0007
128. Lorène Prost, David Makowski, Marie-Hélène Jeuffroy, 2008. Comparison of stepwise selection and Bayesian model averaging for yield gap analysis. Ecological Modelling. Volume 219, Issues 1–2, 2008, Pages 66-76, ISSN 0304-3800, https://doi.org/10.1016/j.ecolmodel.2008.07.026.
129. M. Parry, 1990. Climate change and world agriculture. Earthscan Publications Limited, London. DOI: https://doi.org/10.1017/S0266467400005642
130. Madigan D, Raftery AE, Volinsky CT, Hoeting JA, 1996. Bayesian model averaging. In Integrating Multiple Learned Models (IMLM-96), Chan P, Stolfo S, Wolpert D (eds). 1996; 77–83.
131. Madigan, D., Raftery, A.E., 1994. Model selection and accounting for model uncertainty in graphical models using Occam‟s window. J. Am. Stat. Assoc. 89(428), 1535–1546.
132. Mahul, O. and Skees, J.R., 2007. Managing agricultural risk at the country level: the case of index-based livestock insurance in Mongolia. World Bank Policy Research Working Paper No. 4325, World Bank, Washington, DC.
133. Mahul, O., 2001. Optimal insurance against climatic experience. American Journal of Agricultural Economics, 83, 593–604.
134. Mahul, O., Verma, N. & Clarke, D. J., 2012. Improving Farmers' Access of agricultural insurance in India. Report to The World Bank, Washington DC
135. Mahul, Olivier; Stutley, Charles J., 2010. Government Support to Agricultural Insurance : Challenges and Options for Developing Countries. World Bank. 136.Maltritz, D., & Molchanov, A. 2013. Analyzing determinants of bond yield spreads with Bayesian Model Averaging. Journal of Banking & Finance, 37(12), 5275–5284. doi:10.1016/j.jbankfin.2013.07.007
137. Man, Georg., 2015. Competition and the growth of nations: International evidence from Bayesian model averaging. Economic Modelling. 51. 491-501. 10.1016/j.econmod.2015.08.012.
138. Martin, S. W., Barnett, B. J., & Coble, K. H., 2001. Developing and pricing precipitation insurance. Journal of Agricultural and Resource Economics, 26, 261– 274.
139. McIntosh, C., Sarris, A. and Papadopoulos, F., 2013. Productivity, credit, risk, and the demand for weather index insurance in smallholder agriculture in Ethiopia. Agricultural Economics, Vol. 44 Nos 4-5, pp. 399-417.
140. Millar J, Psychas P, Abuaku B, et al. 2018. Detecting local risk factors for residual malaria in northern Ghana using Bayesian model averaging. Malaria Journal. 2018 Sep;17(1):343. DOI: 10.1186/s12936-018-2491-2.
141. Miranda, M. J., & Vedenov, D. V., 2001. Innovations in agricultural and natural disaster insurance. American Journal of Agricultural Economics. 83, 650– 655.
142. Miranda, M. J., 1991. Area yield insurance reconsidered. American Journal of Agricultural Economics. 73, 233–242.
143.Moral-Benito, E. 2015. Model averaging in economics: An overview. Journal of Economic, Surveys, 29(1), 46–75.
144. Morgan, D., 1997. Focus groups as qualitative research (2nd edi.). Thousand Oaks: Sage.
145. Murphy M, Wang D. Do previous birth interval and maternal education in_uence infant survival? A Bayesian model averaging analysis of Chinese data. Population Studies 2001; 55:37– 47.
146. Murphy, K.P, 2012. Machine learning: a probabilistic perspective. Cambridge, MA: MIT Press.
147. Nepomuscene Ntukamazina, Richard N. Onwonga, Rolf Sommer, Clare M. Mukankusi, John Mburu & Jean Claude Rubyogo, 2017. Effect of excessive and minimal soil moisture stress on agronomic performance of bush and climbing bean (Phaseolus vulgaris L). Cogent Food & Agriculture , 3:1, DOI: 10.1080/23311932.2017.1373414
148. Newman J. A., 2004. Climate change and cereal aphids: the relative effects of increasing CO2 and temperature on aphid population dynamics. Global Change Biol. 10, 5–15. doi:10.1111/j.1365-2486.2003.00709.x
149. Notaro, Vincenza & Liuzzo, Lorena & Freni, Gabriele, 2016. A BMA Analysis to Assess the Urbanization and Climate Change Impact on Urban Watershed Runoff. Procedia Engineering. 154. 10.1016/j.proeng.2016.07.461.