Variance estimation using memory type estimators based on EWMA statistic for time scaled surveys in stratified sampling

Abstract In this article, we have proposed memory-type exponential and non-exponential estimators for population variance based on exponentially weighted moving average (EWMA) statistic in stratified sampling. We drive mathematical expressions for mean square errors of the proposed estimators using...

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Hauptverfasser:	Muhammad Umair Tariq, Muhammad Nouman Qureshi, Osama Abdulaziz Alamri, Soofia Iftikhar, Basim S.O. Alsaedi, Muhammad Hanif
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Nature Portfolio 2024-11-01
Schriftenreihe:	Scientific Reports
Schlagworte:	Auxiliary information Memory-type estimators EWMA Statistic Time-scaled surveys Mean squared Error Stratification
Online-Zugang:	https://doi.org/10.1038/s41598-024-76953-2
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