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Article type: Research Article
Authors: Sharma, M.K.; * | Fanta, Sileshi
Affiliations: Department of Statistics, Addis Ababa University, Addis Ababa, Ethiopia
Correspondence: [*] Corresponding author. M.K. Sharma, E-mail: [email protected].
Abstract: A selection procedure for selecting an inclusion probability proportional to sample of size (2 ⩽ n < N) is proposed. The simplicity in sample selection and in computing inclusion probability for a pair of units in the sample is achieved by using combinatorial properties of partially balanced incomplete block design. A procedure has been illustrated by an example and also comparison of Horvitz-Thompson and Sen-Yates-Grundy estimators has been discussed.
Keywords: Partially balanced incomplete block design, Probability proportional to size sampling, Balanced incomplete block design
DOI: 10.3233/MAS-2011-0174
Journal: Model Assisted Statistics and Applications, vol. 6, no. 1, pp. 63-69, 2011
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