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Ranked Set Sampling with Unequal Samples
Biometrics, 2001A 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.
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Statistics and Probability Letters, 2000
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Al-Saleh, M. Fraiwan, Al-Kadiri, M. Ali
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Al-Saleh, M. Fraiwan, Al-Kadiri, M. Ali
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Regression Estimator in Ranked Set Sampling
Biometrics, 1997Ranked 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, 1987Ranked 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 for Replicated Sampling Designs
Biometrics, 2002In practical ecological sampling studies, a certain design (such as plot sampling or line-intercept sampling) is usually replicated more than once. For each replication, the Horvitz-Thompson estimation of the objective parameter is considered. Finally, an overall estimator is achieved by averaging the single Horvitz-Thompson estimators.
Barabesi, Lucio, Pisani, Caterina
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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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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, 2006zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Haiying Chen +2 more
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Mallows’ models for imperfect ranking in ranked set sampling
AStA Advances in Statistical Analysis, 2019zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Nikolay I. Nikolov, Eugenia Stoimenova
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Biometrical Journal, 1996
AbstractRanked set sampling (RSS) as suggested by McIntyre (1952) may be modified to introduced a new sampling method called pair rank set sampling (PRSS), which might be used in some area of application instead of the RSS to increase the efficiency of the estimators relative to the simple random sampling (SRS) method. Estimators of the population mean
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AbstractRanked set sampling (RSS) as suggested by McIntyre (1952) may be modified to introduced a new sampling method called pair rank set sampling (PRSS), which might be used in some area of application instead of the RSS to increase the efficiency of the estimators relative to the simple random sampling (SRS) method. Estimators of the population mean
openaire +1 more source