Results 241 to 250 of about 405,072 (267)

Mallows’ models for imperfect ranking in ranked set sampling

AStA Advances in Statistical Analysis, 2019
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Nikolay I. Nikolov, Eugenia Stoimenova
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Parametric ranked set sampling

Annals of the Institute of Statistical Mathematics, 1995
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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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5 Ranked set sampling

1994
Abstract McIntyre (1952) proposed a method of sampling to estimate mean pasture yields with greater efficiency than simple random sampling. This method of sampling has come to be known as ranked set sampling (RSS) because it involves a preliminary ranking of randomly selected units from the population, after which only a certain few of these ...
G.P. Patil, A.K. Sinha, C. Taillie
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Controlled sampling using ranked set sampling

Journal of Nonparametric Statistics, 2003
Based on ranked set sampling procedure, a technique to obtain a controlled preferable sample is introduced. Using this technique it is possible to obtain an approximate preferable sample from a population of interest. In particular, the technique can be used to obtain sample points that tend to be from a specific portion of a distribution such as the ...
Mohammad Fraiwen Al-Saleh*, Gang Zheng
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Ranked Set Sampling with Non-Random Selection of Sets and Errors in Ranking

Applied Statistics, 1987
Ranked set sampling is a technique for estimating the mean of a population, of use when accurate measurement of samples is difficult but ranking sets of samples is relatively easy. In this paper previous work on imperfect ranking is integrated with a simple model of non-random selection of samples within a set and the effect of these sources of error ...
Ridout, M. S., Cobby, J. M.
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Wilcoxon signed rank test using ranked-set sample

Korean Journal of Computational & Applied Mathematics, 1996
Ranked-set sampling is useful when measurements are destructive or costly to obtain but ranking of the observations is relatively easy. The Wilcoxon signed rank test statistic based on the ranked-set sample is considered. We compared the asymptotic relative efficiencies of the RSS Wilcoxon signed rank test statistic with respect to the SRS Wilcoxon ...
Dong Hee Kim, Young Cheol Kim
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Non-Parametric Selected Ranked Set Sampling

Biometrical Journal, 2001
Summary: A nonparametric selected ranked set sampling is suggested. The estimator of population mean based on the new approach is compared with that using the simple random sampling (SRS), the ranked set sampling (RSS) and the median ranked set sampling (MRSS) methods.
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Mixed ranked set sampling design

Journal of Applied Statistics, 2014
The main focus of agricultural, ecological and environmental studies is to develop well designed, cost-effective and efficient sampling designs. Ranked set sampling (RSS) is one method that leads to accomplish such objectives by incorporating expert knowledge to its advantage.
Abdul Haq, Jennifer Brown, Elena Moltchanova, Amer Ibrahim Al-Omari   +3 more
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