Results 261 to 270 of about 90,467 (297)

Testing perfect rankings in ranked‐set sampling with binary data

Canadian Journal of Statistics, 2017
AbstractIn ranked‐set sampling, the rankings may be either perfect or imperfect. Statistical procedures that assume perfect rankings tend to be more efficient than procedures that do not assume perfect rankings when perfect rankings actually hold, but may perform poorly if the rankings are imperfect.
Jesse Frey, Yimin Zhang
openaire   +2 more sources

U-Statistics and imperfect ranking in ranked set sampling

Journal of Nonparametric Statistics, 1999
Ranked set sampling has attracted considerable attention as an efficient sampling design, particularly for environmental and ecological studies. A number of authors have noted a gain in efficiency over ordinary random sampling when specific estimators and tests of hypotheses are applied to rank set sample data.
Brett Presnell, Lora L. Bohn
openaire   +1 more source

Estimation of Ratio Using Rank Set Sampling

Biometrical Journal, 1996
AbstractRanked set sampling (RSS) as suggested by McIntyre (1952) and developed by Takahasi and Wakimoto (1968) is used to estimate the ratio. It is proved that by using RSS method the efficiency of the estimator relative to the simple random sampling (SRS) method has increased. Computer simulated results are given.
Samawi, Hani M., Muttlak, Hassen A.
openaire   +2 more sources

The ‘Bayesics’ of Ranked Set Sampling

Environmental and Ecological Statistics, 1999
Ranked set sampling can be useful when measurements are expensive but units from the popu- lation can be easily ranked. In this situation one may draw k units from the population, rank them, select one on which to make the expensive measurement, draw another k units, rank them, select one, and so on.
openaire   +1 more source

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
openaire   +1 more source

Improvements in ranked set sampling

2014
The main focus of many agricultural, ecological and environmental studies is to develop well designed, cost-effective and efficient sampling designs. Ranked set sampling (RSS) is one of those sampling methods that can help accomplish such objectives by incorporating prior information and expert knowledge to the design.
openaire   +2 more sources

New imperfect rankings models for ranked set sampling

Journal of Statistical Planning and Inference, 2007
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

Dual-rank ranked set sampling

Journal of Statistical Computation and Simulation, 2023
openaire   +1 more source

Inference in the presence of ranking error in ranked set sampling

Canadian Journal of Statistics, 2008
AbstractThe author proposes inference techniques for ranked set sample data in the presence of judgment ranking errors. He bases his analysis on the models of Bohn & Wolfe (1994) and Frey (2007a, b), of which parameters are estimated by minimizing a distance measure. He then uses the fitted models to calibrate confidence intervals and tests.
openaire   +2 more sources

Estimation of the population mean by successive use of an auxiliary variable in median ranked set sampling

Mathematical Population Studies, 2021
Usman Shahzad, Ishfaq Ahmad, Evrim Oral   +2 more
exaly