Some new classes of estimators under linear systematic sampling in absence and presence of non-response

Shahzad, Usman; Hanif, Muhammad; KOYUNCU, NURSEL

doi:10.1080/09720510.2018.1564582

Some new classes of estimators under linear systematic sampling in absence and presence of non-response

Atıf İçin Kopyala

Shahzad U., Hanif M., KOYUNCU N.

JOURNAL OF STATISTICS & MANAGEMENT SYSTEMS, cilt.22, sa.6, ss.1067-1091, 2019 (ESCI)

Yayın Türü: Makale / Tam Makale
Cilt numarası: 22 Sayı: 6
Basım Tarihi: 2019
Doi Numarası: 10.1080/09720510.2018.1564582
Dergi Adı: JOURNAL OF STATISTICS & MANAGEMENT SYSTEMS
Derginin Tarandığı İndeksler: Emerging Sources Citation Index (ESCI)
Sayfa Sayıları: ss.1067-1091
Hacettepe Üniversitesi Adresli: Evet

Özet

Systematic sampling is a statistical method involving the selection of elements from an ordered sampling frame. Singh and Solanki (2012) and Singh et al. (2012) introduced some estimators for estimating the population mean using supplementary information in systematic sampling. In this article we propose some new and improved classes of estimators by adapting Koyuncu (2012) and Swain (2014) estimators for population mean under systematic sampling scheme alongside the non-response issue. The properties of the proposed classes such as biases and mean square errors are derived theoretically. A numerical study is performed to see the superiority of our proposed estimators.