scholarly journals Crop Insurance Premium Design Based on Survival Analysis Model

2010 ◽  
Vol 1 ◽  
pp. 67-75 ◽  
Author(s):  
Erda Wang ◽  
Yang Yu ◽  
Bertis B. Little ◽  
Zuozhi Li
2021 ◽  
Vol 1752 (1) ◽  
pp. 012023
Author(s):  
P Hasanah ◽  
M Azka ◽  
R Herliansyah ◽  
N L Payung

2020 ◽  
Vol 1 (1) ◽  
pp. 33-39
Author(s):  
Nurfadhlina Abdul Hali ◽  
Muhammad Faiz Rifqi ◽  
Endang Soeryana

Determination of crop insurance premiums in the Citarum River basin can be calculated by mathematical methods. One of the methods of calculation of the premium that is the normal curve methods with data on crop productivity is assumed to be Gaussian. In this thesis are discussed in crop insurance premium calculations Areas Citarum River basin West Bandung Regency with normal curve method with a significant level of coverage. These methods are used because data on crop productivity gained Gaussian. Normal curve method is used without using the assumption of coefficients of variation, and try for some level of coverage. Application materials used are rice crop productivity data in the Citarum River basin of West Bandung Regency in 2008-2014. This research resulted in the value of the rice crop insurance premiums for farmers in the area based on a certain level of coverage.


2003 ◽  
Vol 16 (5-6) ◽  
pp. 855-864 ◽  
Author(s):  
Antonio Eleuteri ◽  
Roberto Tagliaferri ◽  
Leopoldo Milano ◽  
Sabino De Placido ◽  
Michele De Laurentiis

2019 ◽  
Author(s):  
T. A. S. Nur ◽  
S. F. Sari ◽  
S. Mardiyati

2010 ◽  
Vol 44 (3) ◽  
pp. 209-217 ◽  
Author(s):  
J. Stephenson ◽  
B.L. Chadwick ◽  
R.A. Playle ◽  
E.T. Treasure

2018 ◽  
Vol 68 ◽  
pp. 371-376 ◽  
Author(s):  
Lorena Garitta ◽  
Klaus Langohr ◽  
Eliana Elizagoyen ◽  
Fernanda Gugole Ottaviano ◽  
Guadalupe Gómez ◽  
...  

2009 ◽  
Vol 17 ◽  
pp. 18 ◽  
Author(s):  
Holmes Finch ◽  
Dan Lapsley ◽  
Mary Baker-Boudissa

Research has demonstrated that high rates of student mobility are associated with a range of negative academic outcomes, both for students who leave their schools and those who remain behind. The current study focused on mobility among those enrolled in charter schools in the state of Indiana. A multilevel Cox Proportional Hazards survival analysis model was used to identify significant predictors of student mobility within and from a state charter school system, using factors at both the student and school levels. Results indicated that initial student achievement upon first entering a charter school, student ethnicity, participation in a Title I funded program, and average years of teacher experience at the school were all associated with the decision to leave the charter. Specifically, students with higher initial achievement scores, those eligible for Title 1 services, and non-Caucasian students were more likely to leave charter schools prematurely. In addition, schools with a more experienced faculty had lower early departure rates than did those with less experienced teachers.


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