Please use this identifier to cite or link to this item: http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/31048
Title: Calibration Approach to Developed Triple Means Estimators
Authors: HARUNA, Suleiman
YAKUBU, Yisa
ABUBAKAR, Usman
YAHAYA, Usman B.
Keywords: Arithmetic mean
calibration
constraints
design weight
geometric mean
harmonic mean
variance
triple mean
Issue Date: 2025
Publisher: Asian Research Journal of Mathematics
Citation: Suleiman Haruna, Yisa Yakubu, Usman Abubakar, and Usman Yahaya Baba. 2025. “Calibration Approach to Developed Triple Means Estimators”. Asian Research Journal of Mathematics 21 (11):76–91. https://doi.org/10.9734/arjom/2025/v21i111013.
Series/Report no.: ;Article no.ARJOM.146587
Abstract: Calibration estimation has become a ubiquitous methodology across diverse fields, providing a foundational framework for tackling complex statistical problems. Its significance In recent years, has emerged as a pivotal topic in research on estimation in survey sampling where it has emerged as a crucial area of study. By providing a systematic approach to integrating auxiliary information, calibration enhances the estimation procedure, rendering it a valuable tool in statistical analysis. The article propounds an calibration approaches of triple mean under simple random sampling of variance estimators, the proposed calibration have been
URI: http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/31048
ISSN: 2456-477X
Appears in Collections:Statistics

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