Page 355 - Contributed Paper Session (CPS) - Volume 2
P. 355
CPS1885 Karuna G. R. et al.
Figure 1: Histogram and Gamma Curve for mortdue
Efficiency of the proposed method could not be tested against other
established methods as they tend to only consider fixed sample sizes and not
the cost, i.e., they consider the per unit stratum cost to be a constant of
$1/.
References
1. Bellman, R. E. (1957). Dynamic Programming, Princeton University Press,
New Jersey.
2. Boland, P. J. (2007). Statistical and probabilistic methods in actuarial
science. Chapman and Hall/CRC.
3. Chakraborti, A., and Patriarca, M. (2008). Gamma-distribution and
wealth inequality. Pramana, 71(2), 233-243.
4. Cochran, W. G. (1977). Sampling Techniques: 3rd Ed. New York:
Wiley.
5. Dalenius, T. (1950). The problem of Optimum Stratification-II, 33:203-
213. Skand. Aktuartidskr.
6. Dalenius, T. and Gurney, M. (1951). The Problem of Optimum
Stratification, Almqvist & Wiksell, Stockholm.
7. Gunning, P., Horgan, J. M. and Yancey, W. (2004). Geometric
stratification of accounting data, Contadur´ıa y Administraci´on, (214).
8. Lavall´ee, P. (1988). Two-way Optimal Stratification Using Dynamic
Programming, 646-651. Proceedings of the Section on Survey Research
Methods, ASA, Virginia.
9. Kozak, M. (2004). Optimal Stratification Using Random Search Method
in Agricultural Surveys, 6(5):797-806. Statistics in Transition.
344 | I S I W S C 2 0 1 9