A New Estimator based on Auxiliary Information through Quantitative Randomized Response Techniques
JOURNAL OF MODERN APPLIED STATISTICAL METHODS, cilt.16, sa.1, ss.364-387, 2017 (ESCI, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 16 Sayı: 1
- Basım Tarihi: 2017
- Doi Numarası: 10.22237/jmasm/1493598060
- Dergi Adı: JOURNAL OF MODERN APPLIED STATISTICAL METHODS
- Derginin Tarandığı İndeksler: Emerging Sources Citation Index (ESCI), Scopus
- Sayfa Sayıları: ss.364-387
- Açık Arşiv Koleksiyonu: AVESİS Açık Erişim Koleksiyonu
- Hacettepe Üniversitesi Adresli: Evet
Özet
An exponential-type estimator is developed for the population mean of the sensitive study variable based on various Randomized Response Techniques (RRT) using a non-sensitive auxiliary variable. The mean squared error (MSE) of the proposed estimator is derived for generalized RRT models. The proposed estimator is compared with competitors in a simulation study and an application. The proposed estimator is found to be more efficient using a non-sensitive auxiliary variable.