Estimation of average milk yield using ranked set sampling | Zendy

AlSaleh Mohammad Fraiwan | Zendy; AlShrafat Khalaf | Zendy

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Estimation of average milk yield using ranked set sampling

Author(s) -

AlSaleh Mohammad Fraiwan,

AlShrafat Khalaf

Publication year - 2001

Publication title -

environmetrics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.68

H-Index - 58

eISSN - 1099-095X

pISSN - 1180-4009

DOI - 10.1002/env.478

Subject(s) - rss , statistics , simple random sample , sampling (signal processing) , estimator , ranking (information retrieval) , mathematics , set (abstract data type) , sampling design , computer science , artificial intelligence , medicine , population , environmental health , filter (signal processing) , computer vision , programming language , operating system

With the aim of investigating the effectiveness of ranked set sampling (RSS) technique for improving the sampling precision of estimating the average milk yield, a study is conducted on a field of (402) sheep in East Jordan. It appears that the relative saving of sampling units when using RSS with set size (3) is between 32% and 44% compared to simple random sampling (SRS). The precision of the estimator obtained using RSS with respect to that obtained using SRS is calculated for both perfect and visual ranking. Copyright © 2001 John Wiley & Sons, Ltd.

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