Best linear unbiased estimators of parameters of a simple linear regression model based on ordered ranked set samples. (English) Zbl 1169.62051
Summary: As an alternative to estimation based on a simple random sample (BLUE-SRS) for the simple linear regression model, E. Moussa-Hamouda and F. C. Leone [Technometrics 16, 441–446 (1974; Zbl 0285.62043)] discussed the best linear unbiased estimators based on order statistics (BLUE-OS), and showed that BLUE-OS are more efficient than BLUE-SRS for normal data. Using ranked set sampling, M. C. M. Barreto and V. Barnett [Best linear unbiased estimators for the simple linear regression model using ranked set sampling. Environ. Ecol. Stat. 6, 119–133 (1999)] derived the best linear unbiased estimators (BLUE-RSS) for simple linear regression models and showed that BLUE-RSS is more efficient for the estimation of the regression parameters (intercept and slope) than BLUE-SRS for normal data, but not so for the estimation of the residual standard deviation in the case of small sample size. As an alternative to RSS, this paper considers the best linear unbiased estimators based on order statistics from a ranked set sample (BLUE-ORSS) and shows that BLUE-ORSS is uniformly more efficient than BLUE-RSS and BLUE-OS for normal data.
MSC:
62H12 | Estimation in multivariate analysis |
62J05 | Linear regression; mixed models |
62G30 | Order statistics; empirical distribution functions |
62Q05 | Statistical tables |
Citations:
Zbl 0285.62043References:
[1] | DOI: 10.1071/AR9520385 · doi:10.1071/AR9520385 |
[2] | Halls L. S., Forest Science 12 pp 22– (1966) |
[3] | DOI: 10.1007/BF02911622 · Zbl 0157.47702 · doi:10.1007/BF02911622 |
[4] | DOI: 10.2307/2556166 · Zbl 1193.62047 · doi:10.2307/2556166 |
[5] | DOI: 10.1080/03610927708827563 · doi:10.1080/03610927708827563 |
[6] | DOI: 10.2307/2530493 · Zbl 0425.62023 · doi:10.2307/2530493 |
[7] | Stokes S. L., Journal of the American Statistical Association 83 pp 35– (1988) |
[8] | Chuiv N. N., Handbook of Statistics 17 pp 337– (1998) |
[9] | Stokes S. L., Annals of the Institute of Statistical Mathematics 47 pp 465– (1995) |
[10] | DOI: 10.1023/A:1009647718555 · doi:10.1023/A:1009647718555 |
[11] | Chen Z., Ranked Set Sampling–Theory and Application (2004) · doi:10.1007/978-0-387-21664-5 |
[12] | DOI: 10.1016/j.jspi.2005.08.050 · Zbl 1294.62018 · doi:10.1016/j.jspi.2005.08.050 |
[13] | DOI: 10.1023/A:1009609902784 · doi:10.1023/A:1009609902784 |
[14] | DOI: 10.2307/1267675 · Zbl 0285.62043 · doi:10.2307/1267675 |
[15] | Lloyd E. H., Biometrika 39 pp 88– (1952) |
[16] | DOI: 10.1006/jmva.1996.0067 · Zbl 0864.62035 · doi:10.1006/jmva.1996.0067 |
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