An efficient variant of ranked set sampling, probability proportional to size with application to economic data

Amiri, Saeid, Hassani, Hossein and Heravi, Saeed ORCID: https://orcid.org/0000-0002-0198-764X 2024. An efficient variant of ranked set sampling, probability proportional to size with application to economic data. Austrian Journal of Statistics 53 (2) , pp. 17-31. 10.17713/ajs.v53i2.1622

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Abstract

In this paper, we apply the Ranked Set Sampling (RSS) technique to economic data in the form of homescan market research data set for the meat food group. The RSS method is then extended to select sampling units based on the Probability-Proportional-to-Size (PPS) approach. The new proposed ranked set sampling, using the PPS-derived method, RPPS, is assessed via Monte Carlo investigations and an extensive homescan data set to evaluate its performances. The results are promising and in line with theoretical and simulation studies, showing that the RPPS technique is more reliable and has a smaller variance than the PPS route.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Business (Including Economics)
Publisher:	Austrian Society for Statistics
ISSN:	1026-597X
Date of First Compliant Deposit:	18 January 2024
Date of Acceptance:	8 April 2023
Last Modified:	19 Jan 2024 16:00
URI:	https://orca.cardiff.ac.uk/id/eprint/165657

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