ورقة بحثية
On Regression Estimators Using Extreme Ranked Set Samples = حول تقديرات الإنحدار باستخدام العينات القصوى المرتبة

Samawi, Hani M.


 

On Regression Estimators Using Extreme Ranked Set Samples = حول تقديرات الإنحدار باستخدام العينات القصوى المرتبة

Samawi, Hani M.

Regression is used to estimate the population mean of the response variable, , in the two cases where the population mean of the concomitant (auxiliary) variable, , is known and where it is unknown. In the latter case, a double sampling method is used to estimate the population mean of the concomitant variable. We invesitagate the performance of the two methods using extreme ranked set sampling (ERSS), as discussed by Samawi et al. (1996). Theoretical and Monte Carlo evaluation results as well as an illustration using actual data are presented. The results show that if the underlying joint distribution of and is symmetric, then using ERSS to obtain regression estimates is more efficient than using ranked set sampling (RSS) or simple random sampling (SRS).

Regression is used to estimate the population mean of the response variable, , in the two cases where the population mean of the concomitant (auxiliary) variable, , is known and where it is unknown. In the latter case, a double sampling method is used to estimate the population mean of the concomita...

مادة فرعية

المؤلف : Samawi, Hani M.

مؤلف مشارك : Al-Samarraie, Ahmed Y.A
Al-Saidy, Obaid M

بيانات النشر : Muscat، Sultanate of Oman : Sultan Qaboos Journal of Science، 2004مـ.

التصنيف الموضوعي : العلوم البحتة| .

المواضيع : Mathematics .

Statistics .

الرياضيات .

الإحصاء .

رقم الطبعة : 1

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

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