Results 231 to 240 of about 405,072 (267)

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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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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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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Pair Rank Set Sampling

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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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.
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Double-ranked set sampling

Statistics & Probability Letters, 2000
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Al-Saleh, M. Fraiwan, Al-Kadiri, M. Ali
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Bayesian Estimation Using Ranked Set Sampling

Biometrical Journal, 2000
Summary: Bayesian estimation of the parameter of a distribution is considered using ranked set sampling (RSS). It is shown that for at least one RSS plan, the Bayes estimator has smaller Bayes risk than the Bayes estimator using simple random sampling (SRS).
Al-Saleh, M. Fraiwan, Al Shrafat, Khalaf, Muttlak, H.   +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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Varied L Ranked Set Sampling Scheme

Journal of Statistical Theory and Practice, 2015
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Haq, Abdul, Brown, Jennifer, Moltchanova, Elena, Al-Omari, Amer Ibrahim   +3 more
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Quasi-random ranked set sampling

Statistics & Probability Letters, 2021
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B.L. Robertson, M. Reale, C.J. Price, J.A. Brown   +3 more
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