التفاصيل البيبلوغرافية
| العنوان: |
The Efficiency of Stratified Quartile Ranked Set Sampling in Estimating the Population Mean |
| المؤلفون: |
Mahmoud Ibrahim Syam, Kamarulzaman Ibrahim, Amer Ibrahim Al-Omari |
| المساهمون: |
School of Mathematical Sciences, University Kebangsaan Malaysia, 43600, UKM, Bangi, Selangor, Malaysia, Al al-Bayt University, Faculty of Science, Department of Mathematics, P.O. Box 130095, Mafraq 25113, Jordan |
| سنة النشر: |
2012 |
| المجموعة: |
Aletheia University Institutional Repository (AUIR) |
| مصطلحات موضوعية: |
Simple random sampling, Ranked set sampling, Quartile ranked set sampling, Stratified ranked set sampling |
| Time: |
88 |
| الوصف: |
In this paper, new modified ranked set sampling method is suggested for estimating the population mean, namely, stratified quartile ranked set sampling (SQRSS). The SQRSS is compared with simple random sampling (SRS), stratified simple random sampling (SSRS) and stratified ranked set sampling (SRSS) methods. It is found that the SQRSS estimators are unbiased of the population mean of symmetric distributions. Also, it turns out that the SQRSS is more efficient than its counterparts using SRS, SSRS and SRSS based on the same number of measured units. |
| نوع الوثيقة: |
other/unknown material |
| وصف الملف: |
1376371 bytes; application/pdf |
| اللغة: |
English |
| Relation: |
Tamsui Oxford Journal of Information and Mathematical Sciences 28(2) (2012) 175-190; http://ir.lib.au.edu.tw/dspace/handle/987654321/4588 |
| الاتاحة: |
http://ir.lib.au.edu.tw/dspace/handle/987654321/4588 |
| رقم الانضمام: |
edsbas.A68C8369 |
| قاعدة البيانات: |
BASE |