Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
1992
Abstract
The sampling technique called controlled selection was f'irst described by Goodman and Kish (1950). It was found to be a very useful sampling technique among practicing survey samplers, especially in selecting first-stage units in multi-stage sampling. Hess, Riedel and Fitzpatrick (1961, 1975) have given a simple illustration on how it can be implemented in the sampling of hospitals in the state of Michigan. In this paper, we show how the Groves-Hess algorithm can be improved and how further controls which are useful to survey practitioners can be built into the algorithm. Problems the old algorithm could not solve can now be solved by the new algorithm.
Keywords
Pattern, contradiction, maximum, minimum
Discipline
Econometrics
Research Areas
Econometrics
Publication
Proceedings of the Section on Survey Research Methods 1992
First Page
407
Last Page
410
Publisher
American Statistical Association
City or Country
Washington, DC
Citation
LIN, Ting Kwong.
Some Improvements on an Algorithm for Controlled Selection. (1992). Proceedings of the Section on Survey Research Methods 1992. 407-410.
Available at: https://ink.library.smu.edu.sg/soe_research/1023
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.