Improved estimation of population mean using exponentially weighted moving averages for the time scaled surveys
Yükleniyor...
Dosyalar
Tarih
2023
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Academy of IRMBR: International Research in Management & Business Realities
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
This paper we use exponentially weighted moving average (EWMA) statistic is an improved type statistic that used current and previous information to estimate the population parameter. In this article utilizes EWMA statistic to propose a ratio and product estimator for the surveys based on time scale. The proposed estimators consist of current as well as past sample information. The mean square error expressions of the proposed estimators are derived and mathematical conditions are recognized to prove the efficiency of proposed estimators. The results of simulation study it is discovered from that utilization of the past samples information the performance of estimator in expressions of efficiency. Real life examples are obtainable to determine the use of proposed estimators.
Açıklama
Anahtar Kelimeler
Exponentially Weighted Moving Average, Ratio Estimator, Auxiliary Variables, Modified Exponentially Weighted Moving Average, Exponential Ratio-Type Estimator, Exponential Product-Type Estimator
Kaynak
International Review of Management & Business Research (IRMBR)
WoS Q DeÄŸeri
Scopus Q DeÄŸeri
Cilt
11
Sayı
2
Künye
Bati, B., Masood, S. ve Latif, M. N. (2023). Improved estimation of population mean using exponentially weighted moving averages for the time scaled surveys. International Review of Management & Business Research (IRMBR), 11(2), 12-26.
