Results 101 to 110 of about 84,760 (160)

Ranked Set Sampling for Replicated Sampling Designs

Biometrics, 2002
In 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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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: 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
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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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