Two Way Allocation Methods in SAVS for Large Depopulated Area

Author(s):  
Sho Iwata ◽  
Keiji Suzuki
Keyword(s):  
2005 ◽  
Vol 5 (3-4) ◽  
pp. 9-16
Author(s):  
C. Kim ◽  
D. Han

The primary objective of this study is to improve the methodology for water allocation focused on efficiency and risk aspects. To attain the primary objective, this study sets up an objective function to maximize social expected benefits, and considers three types of allocation methods. Three types of allocation methods are optimal, proportional, and fixed allocation between regions and service sectors. The results of case study area shows that the fixed allocation method is preferred to the proportional allocation in most cases except that the variance of flow is small with respect to efficiency. Also, efficient and less-risky allocation is simultaneously obtained in some cases, while efficiency and risk show the relation of trade-off in other cases.


Author(s):  
Gisele Alves Santana ◽  
Layhon Roberto Rodrigues dos Santos ◽  
Cristiane A. Pendeza Martinez ◽  
André Luís Machado Martinez ◽  
Taufik Abrão

2012 ◽  
Vol 55 (2) ◽  
pp. 613-627 ◽  
Author(s):  
H. A. Aguirre-Villegas ◽  
F. X. Milani ◽  
S. Kraatz ◽  
D. J. Reinemann

2017 ◽  
Vol 40 (1) ◽  
pp. 29-44
Author(s):  
Jong-Min Kim ◽  
Gi-Sung Lee ◽  
Ki-Hak Hong ◽  
Chang-Kyoon Son

This paper suggests a stratified Kuk model to estimate the proportion of sensitive attributes of a population composed by a number of strata; this is undertaken  by applying stratified sampling to the adjusted Kuk model. The paper estimates sensitive parameters when the size of the stratum is known by taking proportional and optimal allocation methods into account and then extends to the case of an unknown stratum size, estimating sensitive parameters by applying stratified double sampling and checking the two allocation methods. Finally, the paper compares the efficiency of the proposed model to that of the Su, Sedory  and Singh model and the adjusted Kuk model in terms of the estimator variance.


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