ESTIMATING THE CORRELATION COEFFICIENT IN A BIVARIATE NORMAL DISTRIBUTION USING MOVING EXTREME RANKED SET SAMPLING WITH A CONCOMITANT VARIABLE

ESTIMATING THE CORRELATION COEFFICIENT IN A BIVARIATE NORMAL DISTRIBUTION USING MOVING EXTREME RANKED SET SAMPLING WITH A CONCOMITANT VARIABLE
ESTIMATING THE CORRELATION COEFFICIENT IN A BIVARIATE NORMAL DISTRIBUTION USING MOVING EXTREME RANKED SET SAMPLING WITH A CONCOMITANT VARIABLE

ㆍ 저자명: AL-SALEH. MOHAMMAD FRAIWAN,AL-ANANBEH. AHMAD MOHAMMAD
ㆍ 간행물명: Journal of the Korean statistical society
ㆍ 권/호정보: 2005년|34권 2호|pp.125-140 (16 pages)
ㆍ 발행정보: 한국통계학회
ㆍ 파일정보: 정기간행물|ENG|
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ㆍ 주제분야: 기타

이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.

서지반출

기타언어초록

In this paper, we consider the estimation of the correlation coefficient in the bivariate normal distribution, based on a sample obtained using a modification of the moving extreme ranked set sampling technique (MERSS) that was introduced by Al-Saleh and Al-Hadhrami (2003a). The modification involves using a concomitant random variable. Nonparametric-type methods as well as the maximum likelihood estimation are considered under different settings. The obtained estimators are compared to their counterparts that are obtained based simple random sampling (SRS). It appears that the suggested estimators are more efficient

키워드

Bivariate Normal Distribution Correlation Coefficient Simple Random Sampling Ranked Set Sampling Moving Extreme Ranked Set Sampling Concomitant Variable

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