Results 241 to 250 of about 90,467 (297)

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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Ranked Set Sampling with Unequal Samples

Biometrics, 2001
A ranked set sampling procedure with unequal samples (RSSU) is proposed and used to estimate the population mean. This estimator is then compared with the estimators based on the ranked set sampling (RSS) and median ranked set sampling (MRSS) procedures.
Dinesh S Bhoj
exaly   +4 more sources

Double-ranked set sampling

Statistics and Probability Letters, 2000
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Al-Saleh, M. Fraiwan, Al-Kadiri, M. Ali
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Parametric ranked set sampling

Annals of the Institute of Statistical Mathematics, 1995
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lynne Stokes
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Stratified ranked set sample

, 2010
Summary: Stratified simple random sampling (SSRS) is used in certain types of surveys because it combines the conceptual simplicity of simple random sampling (SRS) with potentially significant gains in efficiency. It is a convenient technique to use whenever we wish to ensure that our sample is representative of the population and also to obtain ...
Samawi, Hani M.
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Regression Estimator in Ranked Set Sampling

Biometrics, 1997
Ranked set sampling (RSS) utilizes inexpensive auxiliary information about the ranking of the units in a sample to provide a more precise estimator of the population mean of the variable of interest Y, which is either difficult or expensive to measure. However, the ranking may not be perfect in most situations. In this paper, we assume that the ranking
Lam, K, Yu, PLH
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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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Ranked Set Sampling

WIREs Computational Statistics, 2010
AbstractThe most common sampling approach for collecting data from a population with the goal of making inferences about unknown features of the population is a simple random sample (SRS). There is a probabilistic guarantee that each measured observation in an SRS can be considered representative of the population. Despite this assurance, there remains
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An empirical assessment of ranking accuracy in ranked set sampling

Computational Statistics & Data Analysis, 2006
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Haiying Chen, Elizabeth A. Stasny, Douglas A. Wolfe   +2 more
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