[Home ] [Archive]   [ فارسی ]  
:: Main :: About :: Current Issue :: Archive :: Search :: Submit :: Contact ::
:: Volume 30, Issue 2 (3-2020) ::
مجله‌ی بررسی‌ها 2020, 30(2): 415-428 Back to browse issues page
Design Based Estimation of Finite Population Mean in Ranked Set Sampling
Zahra Shirkavand *, Roshanak Aliakbari Saba
Abstract:   (410 Views)
Abstract. This Article introduce method of ranked set sampling with replacement (RSSWR) in finite population and express how to computing samples of inclusion probability for this method. The Horvitz-Thompson and Hansen-Hurwtz estimators using auxiliary variables introduce for this design and use 2011-12 Urban Households Income and Income and Expenditure survey data, gathered for Tehran by statistical center of Iran to show some estimators introduced for RSS design are more efficient than corresponding estimators in SRSWOR design.
Keywords: Finite population, Hansen-Hurwits estimator, Horvitz-Thompson estimator, inclusion probability, ratio estimator, ranked set sampling.
Full-Text [PDF 204 kb]   (126 Downloads)    
Type of Study: Applicable | Subject: Special
Received: 2020/04/22 | Accepted: 2021/03/3 | Published: 2020/03/10
Send email to the article author

Add your comments about this article
Your username or Email:


XML   Persian Abstract   Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Shirkavand Z, Aliakbari Saba R. Design Based Estimation of Finite Population Mean in Ranked Set Sampling. مجله‌ی بررسی‌ها. 2020; 30 (2) :415-428
URL: http://ijoss.srtc.ac.ir/article-1-347-en.html

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 30, Issue 2 (3-2020) Back to browse issues page
مجله‌ی بررسی‌های آمار رسمی ایران (علمی - ترویجی) Ijoss Iranian Journal of Official Statistics Studies
Persian site map - English site map - Created in 0.03 seconds with 30 queries by YEKTAWEB 4341