ورقة بحثية
Regression Estimator Using Double Ranked Set Sampling = مقدر الانحدار باستخدام طريقة المعاينة المرتبة الثنائية المراحل

Samawi, Hani M.


 

Regression Estimator Using Double Ranked Set Sampling = مقدر الانحدار باستخدام طريقة المعاينة المرتبة الثنائية المراحل

Samawi, Hani M.

The performance of a regression estimator based on the double ranked set sample (DRSS) scheme, introduced by Al-Saleh and Al-Kadiri (2000), is investigated when the mean of the auxiliary variable X is unknown. Our primary analysis and simulation indicates that using the DRSS regression estimator for estimating the population mean substantially increases relative efficiency compared to using regression estimator based on simple random sampling (SRS) or ranked set sampling (RSS) (Yu and Lam, 1997) regression estimator. Moreover, the regression estimator using DRSS is also more efficient than the naïve estimators of the population mean using SRS, RSS (when the correlation coefficient is at least 0.4) and DRSS for high correlation coefficient (at least 0.91.) The theory is illustrated using a real data set of trees.

The performance of a regression estimator based on the double ranked set sample (DRSS) scheme, introduced by Al-Saleh and Al-Kadiri (2000), is investigated when the mean of the auxiliary variable X is unknown. Our primary analysis and simulation indicates that using the DRSS regression estimator for...

مادة فرعية

المؤلف : Samawi, Hani M.

مؤلف مشارك : Tawalbeh, Eman M

بيانات النشر : Muscat، Sultanate of Oman : Sultan Qaboos Journal of Science، 2002مـ.

التصنيف الموضوعي : العلوم البحتة| .

المواضيع : Mathematics .

الرياضيات .

رقم الطبعة : 2

المصدر : Sultan Qaboos University : Muscat، Sultanate of Oman.

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