A new ranked set sample estimator of variance | Zendy

MacEachern Steven N. | Zendy; Öztürk Ömer | Zendy; Wolfe Douglas A. | Zendy; Stark Gregory V. | Zendy

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A new ranked set sample estimator of variance

Author(s) -

MacEachern Steven N.,

Öztürk Ömer,

Wolfe Douglas A.,

Stark Gregory V.

Publication year - 2002

Publication title -

journal of the royal statistical society: series b (statistical methodology)

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 6.523

H-Index - 137

eISSN - 1467-9868

pISSN - 1369-7412

DOI - 10.1111/1467-9868.00331

Subject(s) - minimum variance unbiased estimator , bias of an estimator , estimator , statistics , variance (accounting) , population variance , mathematics , consistent estimator , sample (material) , efficient estimator , set (abstract data type) , efficiency , stein's unbiased risk estimate , computer science , chemistry , accounting , chromatography , business , programming language

Summary. We develop an unbiased estimator of the variance of a population based on a ranked set sample. We show that this new estimator is better than estimating the variance based on a simple random sample and more efficient than the estimator based on a ranked set sample proposed by Stokes. Also, a test to determine the effectiveness of the judgment ordering process is proposed.

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