Results 1 to 10 of about 1,362,891 (269)
Novel imputation methods under stratified simple random sampling
This paper addresses some classes of combined and separate imputation methods (CSIMs) of the population mean under stratified simple random sampling (SSRS) along with their characteristics.
Anoop Kumar +5 more
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Improved neutrosophic exponential-ratio estimator of population mean with simple random sampling [PDF]
In this paper we present a neutrosophic exponential-ratio estimator for calculating the population mean using simple random sampling. In sampling methods classical statistics always depends on exact and complete data, but when we are dealing with unclear
Bhatt Ravi Jitendrakumar +2 more
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An Unbiased Estimator of Finite Population Mean Using Auxiliary Information
In this paper, an unbiased estimator is constructed by using a linear combination of an estimator of study variable and mean per unit estimator of an auxiliary variable under simple random sampling without replacement scheme.
B. Mahanty, G. Mishra
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Sampling design for compliance monitoring of surface water quality: A case study in a Polder area [PDF]
International agreements such as the EU Water Framework Directive (WFD) ask for efficient sampling methods for monitoring natural resources. In this paper a general methodology for designing efficient, statistically sound monitoring schemes is described.
Brus, D.J., Knotters, M.
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The quality control of meteorological data has lately received great attention for its important significance to national ecological security and military security.
Sen Tian +4 more
doaj +1 more source
Limiting Behavior of High Order Correlations for Simple Random Sampling [PDF]
For N=1,2,..., let S_N be a simple random sample of size n=n_N from a population A_N of size N, where 0 f as N -> infinity, then N^{k/2}Corr(k) -> [f(f-1)]^{k/2}EZ^k, k even and N^{(k+1)/2}Corr(k) -> [f(f-1)]^{(k-1)/2}(2f-1)(1/3)(k-1)EZ^{k+1}, k odd ...
Walker, Christopher Wayne
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Enhanced estimation of population mean using simple random sampling
The present study suggests an enhanced class of estimators for the population mean estimation utilizing simple random sampling (SRS). The bias, mean square errors (MSE), and minimum MSE of the suggested estimators are computed to the approximation of ...
Anoop Kumar, Asra Sayyed Siddiqui
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Employment Bootstrapping Approach to Finding New Ratio Estimators in Simple Random Sampling [PDF]
This research boils down to find new ratio estimators instead of estimators of (Kadilar and Cingi ;2004) by replacing the regression parameter of the final estimators, which is estimated by ordinary least squares, with new parameter estimated by ...
doaj +1 more source
Coupling methods for multistage sampling
Multistage sampling is commonly used for household surveys when there exists no sampling frame, or when the population is scattered over a wide area. Multistage sampling usually introduces a complex dependence in the selection of the final units, which ...
Chauvet, Guillaume
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Random Latin squares and Sudoku designs generation
Uniform random generation of Latin squares is a classical problem. In this paper we prove that both Latin squares and Sudoku designs are maximum cliques of properly defined graphs. We have developed a simple algorithm for uniform random sampling of Latin
Fontana, Roberto
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