Mathematical Sciences
en
When sample observations are expensive or difficult to obtain, ranked set sampling is known to be an efficient method for estimating the population mean, and in particular to improve on the sample mean estimator. Using best linear unbiased estimators, this paper considers the simple linear regression model with replicated observations. Use of a form of ranked set sampling is shown to be markedly more efficient for normal data when compared with the traditional simple linear regression estimators.
Best linear unbiased estimators for the simple linear regression model using ranked set sampling
1999-06-01
1999-06
research_article
119-133
http://link.springer.com/10.1023/A:1009609902784
articles
2019-04-10T15:48
https://scigraph.springernature.com/explorer/license/
true
6
Maria Cecilia Mendes
Barreto
Federal University of São Carlos
Department of Statistics, The Federal University of Sao Carlos, CEP 13565 905, Sao Carlos, SP, Brazil
1352-8505
Environmental and Ecological Statistics
1573-3009
Springer Nature - SN SciGraph project
pub.1010388613
dimensions_id
Statistics
2
317e11c07d2f023253fa31889978c827d380f43657a30b9eed2dd0ffbe80e84f
readcube_id
Vic
Barnett
University of Nottingham
School of Mathematical Sciences, The University of Nottingham, University Park, NG7 2RD, Nottingham, UK
doi
10.1023/a:1009609902784