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Open Access Research Article

Allocations in stratified modified PPS sampling technique

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pp. 879–892Vol. 28Issue 5July 2025DOI: 10.47974/JSMS-1390XML
Received:
08 May 2024
Published Online:
08 Jul 2025
Article type:
Research Article
Language:
EN
Article no.:
JSMS-1390
Pages:
879–892

Abstract

Stratified sampling enhances the efficiency of estimators by dividing the heterogenous population into the homogeneous strata. In the literature, Stratified Modified Probability Proportional to Size (Stratified MPPS) sampling is a method that selects units within each stratum using MPPS sampling. MPPS sampling is used when the data follows Zipf’s law. In this paper, the allocation methods of sample size among the strata are applied to Stratified MPPS sampling to minimize the variance. Proportional allocation assigns sample sizes to strata in proportion to their sizes and Neyman allocation considers both stratum size and variability among strata to allocate the sample size among various strata. An Empirical study based on real-world datasets, compares the proposed allocation methods to estimate the population total in statistical practice.

Keywords

Subject Classifications

62D0562F4062G0994A20

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