Some Improvements on an Algorithm for Controlled Selection

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)...

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Bibliographic Details
Main Author: LIN, Ting Kwong
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 1992
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Online Access:https://ink.library.smu.edu.sg/soe_research/1023
https://ink.library.smu.edu.sg/context/soe_research/article/2022/viewcontent/1992_065_1_.pdf
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Institution: Singapore Management University
Language: English
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Summary: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.