Results 211 to 220 of about 90,081 (258)

Ranked Set Sampling: Cost and Optimal Set Size

Biometrics, 2002
McIntyre (1952, Australian Journal of Agricultural Research 3, 385-390) introduced ranked set sampling (RSS) as a method for improving estimation of a population mean in settings where sampling and ranking of units from the population are inexpensive when compared with actual measurement of the units.
Nahhas, Ramzi W., Wolfe, Douglas A., Chen, Haiying   +2 more
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The mg-procedure in ranked set sampling

Journal of Statistical Planning and Inference, 1980
Abstract The MG-procedure in ranked set sampling is studied in this paper. It is shown that the MG-procedure with any selective probability matrix provides a more efficient estimator than the sample mean based on simple random sampling. The optimum selective probability matrix in the procedure is obtained and the estimator based on it is shown to be ...
Yanagawa, T., Chen, Shan-Huo
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On the totality of ranked set sampling

Applied Mathematics and Computation, 2004
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Resampling methods for ranked set samples

Computational Statistics & Data Analysis, 2006
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Reza Modarres, Terrence P. Hui, Gang Zheng   +2 more
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Rank Regression in Ranked-Set Samples

Journal of the American Statistical Association, 2002
The use of statistical methods based on ranked-set sampling can lead to a substantial improvement over analog methods associated with simple random sampling schemes. This article develops a rank-based estimator and testing procedures for linear models for ranked-set samples. The estimator is defined as the minimizer of the rank dispersion function with
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General Ranked Set Sampling with Cost Considerations

Biometrics, 2004
Summary.  Nahhas, Wolfe, and Chen (2002, Biometrics58, 964–971) considered optimal set size for ranked set sampling (RSS) with fixed operational costs. This framework can be very useful in practice to determine whether RSS is beneficial and to obtain the optimal set size that minimizes the variance of the population estimator for a fixed total cost ...
Wang, You Gan, Chen, Zehua, Liu, Jianbin
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Efficient Regression Analysis with Ranked‐Set Sampling

Biometrics, 2004
Summary This article is motivated by a lung cancer study where a regression model is involved and the response variable is too expensive to measure but the predictor variable can be measured easily with relatively negligible cost. This situation occurs quite often in medical studies, quantitative genetics, and ecological and environmental studies.
Chen, Zehua, Wang, You Gan
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Multistage ranked set sampling

Journal of Statistical Planning and Inference, 2002
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Al-Saleh, Mohammad Fraiwan, Al-Omari, Amer Ibrahim   +1 more
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Testing perfect rankings in ranked‐set sampling with binary data

Canadian Journal of Statistics, 2017
AbstractIn ranked‐set sampling, the rankings may be either perfect or imperfect. Statistical procedures that assume perfect rankings tend to be more efficient than procedures that do not assume perfect rankings when perfect rankings actually hold, but may perform poorly if the rankings are imperfect.
Jesse Frey, Yimin Zhang
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Ranked Set Sampling: Theory and Applications

Technometrics, 2005
(2005). Ranked Set Sampling: Theory and Applications. Technometrics: Vol. 47, No. 1, pp. 100-101.
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